mirror of
https://github.com/BerriAI/litellm.git
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543 lines
22 KiB
Python
543 lines
22 KiB
Python
import sys
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import traceback
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from datetime import datetime, timedelta
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from typing import Literal, Optional
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from fastapi import HTTPException
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import litellm
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from litellm import ModelResponse
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from litellm._logging import verbose_proxy_logger
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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.proxy._types import UserAPIKeyAuth
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class _PROXY_MaxParallelRequestsHandler(CustomLogger):
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# Class variables or attributes
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def __init__(self, internal_usage_cache: DualCache):
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self.internal_usage_cache = internal_usage_cache
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def print_verbose(self, print_statement):
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try:
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verbose_proxy_logger.debug(print_statement)
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if litellm.set_verbose:
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print(print_statement) # noqa
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except Exception:
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pass
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async def check_key_in_limits(
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self,
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user_api_key_dict: UserAPIKeyAuth,
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cache: DualCache,
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data: dict,
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call_type: str,
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max_parallel_requests: int,
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tpm_limit: int,
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rpm_limit: int,
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request_count_api_key: str,
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rate_limit_type: Literal["user", "customer", "team"],
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):
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current = await self.internal_usage_cache.async_get_cache(
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key=request_count_api_key
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) # {"current_requests": 1, "current_tpm": 1, "current_rpm": 10}
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if current is None:
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if max_parallel_requests == 0 or tpm_limit == 0 or rpm_limit == 0:
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# base case
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return self.raise_rate_limit_error(
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additional_details=f"Hit limit for {rate_limit_type}. Current limits: max_parallel_requests: {max_parallel_requests}, tpm_limit: {tpm_limit}, rpm_limit: {rpm_limit}"
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)
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new_val = {
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"current_requests": 1,
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"current_tpm": 0,
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"current_rpm": 0,
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}
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await self.internal_usage_cache.async_set_cache(
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request_count_api_key, new_val
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)
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elif (
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int(current["current_requests"]) < max_parallel_requests
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and current["current_tpm"] < tpm_limit
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and current["current_rpm"] < rpm_limit
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):
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# Increase count for this token
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new_val = {
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"current_requests": current["current_requests"] + 1,
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"current_tpm": current["current_tpm"],
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"current_rpm": current["current_rpm"],
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}
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await self.internal_usage_cache.async_set_cache(
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request_count_api_key, new_val
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)
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else:
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raise HTTPException(
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status_code=429,
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detail=f"LiteLLM Rate Limit Handler for rate limit type = {rate_limit_type}. Crossed TPM, RPM Limit. current rpm: {current['current_rpm']}, rpm limit: {rpm_limit}, current tpm: {current['current_tpm']}, tpm limit: {tpm_limit}",
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headers={"retry-after": str(self.time_to_next_minute())},
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)
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def time_to_next_minute(self) -> float:
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# Get the current time
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now = datetime.now()
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# Calculate the next minute
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next_minute = (now + timedelta(minutes=1)).replace(second=0, microsecond=0)
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# Calculate the difference in seconds
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seconds_to_next_minute = (next_minute - now).total_seconds()
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return seconds_to_next_minute
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def raise_rate_limit_error(
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self, additional_details: Optional[str] = None
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) -> HTTPException:
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"""
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Raise an HTTPException with a 429 status code and a retry-after header
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"""
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error_message = "Max parallel request limit reached"
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if additional_details is not None:
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error_message = error_message + " " + additional_details
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raise HTTPException(
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status_code=429,
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detail=f"Max parallel request limit reached {additional_details}",
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headers={"retry-after": str(self.time_to_next_minute())},
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)
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async def async_pre_call_hook(
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self,
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user_api_key_dict: UserAPIKeyAuth,
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cache: DualCache,
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data: dict,
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call_type: str,
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):
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self.print_verbose("Inside Max Parallel Request Pre-Call Hook")
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api_key = user_api_key_dict.api_key
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max_parallel_requests = user_api_key_dict.max_parallel_requests
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if max_parallel_requests is None:
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max_parallel_requests = sys.maxsize
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global_max_parallel_requests = data.get("metadata", {}).get(
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"global_max_parallel_requests", None
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)
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tpm_limit = getattr(user_api_key_dict, "tpm_limit", sys.maxsize)
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if tpm_limit is None:
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tpm_limit = sys.maxsize
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rpm_limit = getattr(user_api_key_dict, "rpm_limit", sys.maxsize)
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if rpm_limit is None:
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rpm_limit = sys.maxsize
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# ------------
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# Setup values
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# ------------
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if global_max_parallel_requests is not None:
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# get value from cache
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_key = "global_max_parallel_requests"
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current_global_requests = await self.internal_usage_cache.async_get_cache(
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key=_key, local_only=True
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)
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# check if below limit
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if current_global_requests is None:
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current_global_requests = 1
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# if above -> raise error
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if current_global_requests >= global_max_parallel_requests:
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return self.raise_rate_limit_error(
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additional_details=f"Hit Global Limit: Limit={global_max_parallel_requests}, current: {current_global_requests}"
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)
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# if below -> increment
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else:
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await self.internal_usage_cache.async_increment_cache(
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key=_key, value=1, local_only=True
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)
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current_date = datetime.now().strftime("%Y-%m-%d")
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current_hour = datetime.now().strftime("%H")
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current_minute = datetime.now().strftime("%M")
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precise_minute = f"{current_date}-{current_hour}-{current_minute}"
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if api_key is not None:
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request_count_api_key = f"{api_key}::{precise_minute}::request_count"
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# CHECK IF REQUEST ALLOWED for key
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current = await self.internal_usage_cache.async_get_cache(
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key=request_count_api_key
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) # {"current_requests": 1, "current_tpm": 1, "current_rpm": 10}
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self.print_verbose(f"current: {current}")
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if (
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max_parallel_requests == sys.maxsize
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and tpm_limit == sys.maxsize
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and rpm_limit == sys.maxsize
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):
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pass
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elif max_parallel_requests == 0 or tpm_limit == 0 or rpm_limit == 0:
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return self.raise_rate_limit_error(
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additional_details=f"Hit limit for api_key: {api_key}. max_parallel_requests: {max_parallel_requests}, tpm_limit: {tpm_limit}, rpm_limit: {rpm_limit}"
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)
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elif current is None:
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new_val = {
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"current_requests": 1,
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"current_tpm": 0,
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"current_rpm": 0,
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}
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await self.internal_usage_cache.async_set_cache(
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request_count_api_key, new_val
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)
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elif (
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int(current["current_requests"]) < max_parallel_requests
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and current["current_tpm"] < tpm_limit
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and current["current_rpm"] < rpm_limit
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):
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# Increase count for this token
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new_val = {
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"current_requests": current["current_requests"] + 1,
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"current_tpm": current["current_tpm"],
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"current_rpm": current["current_rpm"],
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}
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await self.internal_usage_cache.async_set_cache(
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request_count_api_key, new_val
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)
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else:
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return self.raise_rate_limit_error(
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additional_details=f"Hit limit for api_key: {api_key}. tpm_limit: {tpm_limit}, current_tpm {current['current_tpm']} , rpm_limit: {rpm_limit} current rpm {current['current_rpm']} "
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)
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# check if REQUEST ALLOWED for user_id
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user_id = user_api_key_dict.user_id
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if user_id is not None:
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_user_id_rate_limits = await self.internal_usage_cache.async_get_cache(
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key=user_id
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)
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# get user tpm/rpm limits
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if _user_id_rate_limits is not None and isinstance(
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_user_id_rate_limits, dict
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):
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user_tpm_limit = _user_id_rate_limits.get("tpm_limit", None)
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user_rpm_limit = _user_id_rate_limits.get("rpm_limit", None)
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if user_tpm_limit is None:
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user_tpm_limit = sys.maxsize
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if user_rpm_limit is None:
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user_rpm_limit = sys.maxsize
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# now do the same tpm/rpm checks
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request_count_api_key = f"{user_id}::{precise_minute}::request_count"
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# print(f"Checking if {request_count_api_key} is allowed to make request for minute {precise_minute}")
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await self.check_key_in_limits(
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user_api_key_dict=user_api_key_dict,
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cache=cache,
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data=data,
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call_type=call_type,
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max_parallel_requests=sys.maxsize, # TODO: Support max parallel requests for a user
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request_count_api_key=request_count_api_key,
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tpm_limit=user_tpm_limit,
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rpm_limit=user_rpm_limit,
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rate_limit_type="user",
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)
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# TEAM RATE LIMITS
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## get team tpm/rpm limits
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team_id = user_api_key_dict.team_id
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if team_id is not None:
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team_tpm_limit = user_api_key_dict.team_tpm_limit
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team_rpm_limit = user_api_key_dict.team_rpm_limit
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if team_tpm_limit is None:
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team_tpm_limit = sys.maxsize
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if team_rpm_limit is None:
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team_rpm_limit = sys.maxsize
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# now do the same tpm/rpm checks
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request_count_api_key = f"{team_id}::{precise_minute}::request_count"
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# print(f"Checking if {request_count_api_key} is allowed to make request for minute {precise_minute}")
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await self.check_key_in_limits(
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user_api_key_dict=user_api_key_dict,
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cache=cache,
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data=data,
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call_type=call_type,
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max_parallel_requests=sys.maxsize, # TODO: Support max parallel requests for a team
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request_count_api_key=request_count_api_key,
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tpm_limit=team_tpm_limit,
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rpm_limit=team_rpm_limit,
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rate_limit_type="team",
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)
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# End-User Rate Limits
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# Only enforce if user passed `user` to /chat, /completions, /embeddings
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if user_api_key_dict.end_user_id:
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end_user_tpm_limit = getattr(
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user_api_key_dict, "end_user_tpm_limit", sys.maxsize
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)
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end_user_rpm_limit = getattr(
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user_api_key_dict, "end_user_rpm_limit", sys.maxsize
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)
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if end_user_tpm_limit is None:
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end_user_tpm_limit = sys.maxsize
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if end_user_rpm_limit is None:
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end_user_rpm_limit = sys.maxsize
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# now do the same tpm/rpm checks
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request_count_api_key = (
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f"{user_api_key_dict.end_user_id}::{precise_minute}::request_count"
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)
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# print(f"Checking if {request_count_api_key} is allowed to make request for minute {precise_minute}")
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await self.check_key_in_limits(
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user_api_key_dict=user_api_key_dict,
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cache=cache,
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data=data,
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call_type=call_type,
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max_parallel_requests=sys.maxsize, # TODO: Support max parallel requests for an End-User
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request_count_api_key=request_count_api_key,
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tpm_limit=end_user_tpm_limit,
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rpm_limit=end_user_rpm_limit,
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rate_limit_type="customer",
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)
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return
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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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self.print_verbose("INSIDE parallel request limiter ASYNC SUCCESS LOGGING")
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global_max_parallel_requests = kwargs["litellm_params"]["metadata"].get(
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"global_max_parallel_requests", None
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)
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user_api_key = kwargs["litellm_params"]["metadata"]["user_api_key"]
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user_api_key_user_id = kwargs["litellm_params"]["metadata"].get(
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"user_api_key_user_id", None
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)
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user_api_key_team_id = kwargs["litellm_params"]["metadata"].get(
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"user_api_key_team_id", None
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)
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user_api_key_end_user_id = kwargs.get("user")
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# ------------
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# Setup values
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# ------------
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if global_max_parallel_requests is not None:
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# get value from cache
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_key = "global_max_parallel_requests"
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# decrement
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await self.internal_usage_cache.async_increment_cache(
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key=_key, value=-1, local_only=True
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)
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current_date = datetime.now().strftime("%Y-%m-%d")
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current_hour = datetime.now().strftime("%H")
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current_minute = datetime.now().strftime("%M")
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precise_minute = f"{current_date}-{current_hour}-{current_minute}"
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total_tokens = 0
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if isinstance(response_obj, ModelResponse):
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total_tokens = response_obj.usage.total_tokens
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# ------------
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# Update usage - API Key
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# ------------
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if user_api_key is not None:
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request_count_api_key = (
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f"{user_api_key}::{precise_minute}::request_count"
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)
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current = await self.internal_usage_cache.async_get_cache(
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key=request_count_api_key
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) or {
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"current_requests": 1,
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"current_tpm": total_tokens,
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"current_rpm": 1,
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}
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new_val = {
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"current_requests": max(current["current_requests"] - 1, 0),
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"current_tpm": current["current_tpm"] + total_tokens,
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"current_rpm": current["current_rpm"] + 1,
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}
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self.print_verbose(
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f"updated_value in success call: {new_val}, precise_minute: {precise_minute}"
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)
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await self.internal_usage_cache.async_set_cache(
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request_count_api_key, new_val, ttl=60
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) # store in cache for 1 min.
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# ------------
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# Update usage - User
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# ------------
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if user_api_key_user_id is not None:
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total_tokens = 0
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if isinstance(response_obj, ModelResponse):
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total_tokens = response_obj.usage.total_tokens
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request_count_api_key = (
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f"{user_api_key_user_id}::{precise_minute}::request_count"
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)
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current = await self.internal_usage_cache.async_get_cache(
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key=request_count_api_key
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) or {
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"current_requests": 1,
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"current_tpm": total_tokens,
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"current_rpm": 1,
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}
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new_val = {
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"current_requests": max(current["current_requests"] - 1, 0),
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"current_tpm": current["current_tpm"] + total_tokens,
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"current_rpm": current["current_rpm"] + 1,
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}
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self.print_verbose(
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f"updated_value in success call: {new_val}, precise_minute: {precise_minute}"
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)
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await self.internal_usage_cache.async_set_cache(
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request_count_api_key, new_val, ttl=60
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) # store in cache for 1 min.
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# ------------
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# Update usage - Team
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# ------------
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if user_api_key_team_id is not None:
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total_tokens = 0
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if isinstance(response_obj, ModelResponse):
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total_tokens = response_obj.usage.total_tokens
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request_count_api_key = (
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f"{user_api_key_team_id}::{precise_minute}::request_count"
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)
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current = await self.internal_usage_cache.async_get_cache(
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key=request_count_api_key
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) or {
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"current_requests": 1,
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"current_tpm": total_tokens,
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"current_rpm": 1,
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}
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new_val = {
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"current_requests": max(current["current_requests"] - 1, 0),
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"current_tpm": current["current_tpm"] + total_tokens,
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"current_rpm": current["current_rpm"] + 1,
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}
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self.print_verbose(
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f"updated_value in success call: {new_val}, precise_minute: {precise_minute}"
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)
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await self.internal_usage_cache.async_set_cache(
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request_count_api_key, new_val, ttl=60
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) # store in cache for 1 min.
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# ------------
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# Update usage - End User
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# ------------
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if user_api_key_end_user_id is not None:
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total_tokens = 0
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if isinstance(response_obj, ModelResponse):
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total_tokens = response_obj.usage.total_tokens
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request_count_api_key = (
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f"{user_api_key_end_user_id}::{precise_minute}::request_count"
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)
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current = await self.internal_usage_cache.async_get_cache(
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key=request_count_api_key
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) or {
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"current_requests": 1,
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"current_tpm": total_tokens,
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"current_rpm": 1,
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}
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new_val = {
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"current_requests": max(current["current_requests"] - 1, 0),
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"current_tpm": current["current_tpm"] + total_tokens,
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"current_rpm": current["current_rpm"] + 1,
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}
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self.print_verbose(
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f"updated_value in success call: {new_val}, precise_minute: {precise_minute}"
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)
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await self.internal_usage_cache.async_set_cache(
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request_count_api_key, new_val, ttl=60
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) # store in cache for 1 min.
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except Exception as e:
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self.print_verbose(e) # noqa
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async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
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try:
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self.print_verbose("Inside Max Parallel Request Failure Hook")
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_metadata = kwargs["litellm_params"].get("metadata", {}) or {}
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global_max_parallel_requests = _metadata.get(
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"global_max_parallel_requests", None
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)
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|
user_api_key = (
|
|
kwargs["litellm_params"].get("metadata", {}).get("user_api_key", None)
|
|
)
|
|
self.print_verbose(f"user_api_key: {user_api_key}")
|
|
if user_api_key is None:
|
|
return
|
|
|
|
## decrement call count if call failed
|
|
if "Max parallel request limit reached" in str(kwargs["exception"]):
|
|
pass # ignore failed calls due to max limit being reached
|
|
else:
|
|
# ------------
|
|
# Setup values
|
|
# ------------
|
|
|
|
if global_max_parallel_requests is not None:
|
|
# get value from cache
|
|
_key = "global_max_parallel_requests"
|
|
current_global_requests = (
|
|
await self.internal_usage_cache.async_get_cache(
|
|
key=_key, local_only=True
|
|
)
|
|
)
|
|
# decrement
|
|
await self.internal_usage_cache.async_increment_cache(
|
|
key=_key, value=-1, local_only=True
|
|
)
|
|
|
|
current_date = datetime.now().strftime("%Y-%m-%d")
|
|
current_hour = datetime.now().strftime("%H")
|
|
current_minute = datetime.now().strftime("%M")
|
|
precise_minute = f"{current_date}-{current_hour}-{current_minute}"
|
|
|
|
request_count_api_key = (
|
|
f"{user_api_key}::{precise_minute}::request_count"
|
|
)
|
|
|
|
# ------------
|
|
# Update usage
|
|
# ------------
|
|
current = await self.internal_usage_cache.async_get_cache(
|
|
key=request_count_api_key
|
|
) or {
|
|
"current_requests": 1,
|
|
"current_tpm": 0,
|
|
"current_rpm": 0,
|
|
}
|
|
|
|
new_val = {
|
|
"current_requests": max(current["current_requests"] - 1, 0),
|
|
"current_tpm": current["current_tpm"],
|
|
"current_rpm": current["current_rpm"],
|
|
}
|
|
|
|
self.print_verbose(f"updated_value in failure call: {new_val}")
|
|
await self.internal_usage_cache.async_set_cache(
|
|
request_count_api_key, new_val, ttl=60
|
|
) # save in cache for up to 1 min.
|
|
except Exception as e:
|
|
verbose_proxy_logger.info(
|
|
"Inside Parallel Request Limiter: An exception occurred - {}\n{}".format(
|
|
str(e), traceback.format_exc()
|
|
)
|
|
)
|