AI_API_服务的_rate_limit_策略은_시스템의_안정성,_비용_관리,_用户体验_를_좌우하는_핵심_설계_입니다. HolySheep_에서_수년간_다양한_모델_API_를_호스팅하면서_축적한_실전_경험을_바탕으로_4가지_주요_전략을_심층_분석합니다.

_RATE_LIMITING_이_왜_중요한가

AI_Model_호출에는_상당한_컴퓨팅_자원이_필요합니다. 적절한_rate_limit_없이는:

HolySheep_API_게이트웨이에서는_각_모델마다_달라지는_Token_가격과_처리_용량을_고려한_다단계_rate_limit_을_제공합니다.

4가지_RATE_LIMITING_알고리즘_비교

1._고정_윈도우_(Fixed_Window)

가장_단순한_방식으로_시간을_고정_크기의_윈도우로_나누고_각_윈도우마다_요청_수를_제한합니다.

#Fixed_Window_Rate_Limiter_구현

import_time
import_dataclasses
from_collections_import_DefaultDict
from_threading_import_Lock

@dataclass
class_FixedWindowRateLimiter:
    """고정_윈도우_기반_레이트_리미터"""
    
    max_requests:_int_  # 윈도우_당_최대_요청_수
    window_size:_int_   # 윈도우_크기_(_초)
    
    def___init__(self,_max_requests:_int,_window_size:_int_=_int=60):
        self.max_requests_=_max_requests
        self.window_size_=_window_size
        self.requests_=_DefaultDict(list)
        self.lock_=_Lock()
    
    def_is_allowed(self,_key:_str)_->_bool:
        """요청_허용_여부_판단"""
        current_time_=_time.time()
        window_start_=_int(current_time_//_self.window_size)_*_self.window_size
        window_end_=_window_start___+_self.window_size
        
        with_self.lock:
            # 현재_윈도우의_요청_기록_정리
            self.requests[key]_=_[
                t_for_t_in_self.requests[key]
                if_t_>=_window_start
            ]
            
            # 윈도우_초과_여부_확인
            if_len(self.requests[key])_<_self.max_requests:
                self.requests[key].append(current_time)
                return_True
            
            return_False
    
    def_get_remaining(self,_key:_str)_->_int:
        """남은_요청_수_조회"""
        current_time_=_time.time()
        window_start_=_int(current_time_//_self.window_size)_*_self.window_size
        
        return_max(0,_self.max_requests_-_len(self.requests.get(key,_[])))


#사용_예시
limiter_=_FixedWindowRateLimiter(max_requests=100,_window_size=60)

for_i_in_range(150):
    if_limiter.is_allowed("user_123"):
        print(f"요청_{i+1}:_허용")
    else:
        print(f"요청_{i+1}:_거부")

2._슬라이딩_윈도우_(Sliding_Window)

고정_윈도우의_경계_문제_를_해결하며_이전_윈도우의_요청_비율을_고려합니다.

#Sliding_Window_Rate_Limiter_구현

import_time
from_collections_import_deque
from_threading_import_Lock
from_dataclasses_import_dataclass

@dataclass
class_SlidingWindowRateLimiter:
    """슬라이딩_윈도우_레이트_리미터"""
    
    max_requests:_int_  # 윈도우_당_최대_요청_수
    window_size:_int_   # 윈도우_크기_(_초)
    
    def___init__(self,_max_requests:_int,_window_size:_int_=_int=60):
        self.max_requests_=_max_requests
        self.window_size_=_window_size
        self.requests_={}  # key_:_deque_of_timestamps
        self.lock_=_Lock()
    
    def_is_allowed(self,_key:_str)_->_bool:
        """슬라이딩_윈도우_기반_요청_허용_판단"""
        current_time_=_time.time()
        window_start_=_current_time_-_self.window_size
        
        with_self.lock:
            if_key_not_in_self.requests:
                self.requests[key]_=_deque()
            
            # 오래된_요청_제거
            while_(self.requests[key]_and_
                   self.requests[key][0]_<_window_start):
                self.requests[key].popleft()
            
            # 허용_여부_판단
            if_len(self.requests[key])_<_self.max_requests:
                self.requests[key].append(current_time)
                return_True
            
            return_False
    
    def_get_reset_time(self,_key:_str)_->_float:
        """다음_리셋_까지_남은_시간"""
        with_self.lock:
            if_key_not_in_self.requests_or_not_self.requests[key]:
                return_0.0
            oldest_=_self.requests[key][0]
            return_max(0.0,_oldest___+_self.window_size_-_time.time())


#HolySheep_API_연동_예시
import_requests

HOLYSHEEP_BASE_URL_=_"https://api.holysheep.ai/v1"
API_KEY_=_"YOUR_HOLYSHEEP_API_KEY"

class_HolySheepRateLimitedClient:
    """HolySheep_API_용_슬라이딩_윈도우_클라이언트"""
    
    def___init__(self,_max_rpm:_int_=_int=60):
        self.limiter_=_SlidingWindowRateLimiter(
            max_requests=_max_rpm,
            window_size=60
        )
    
    def_call_api(self,_endpoint:_str,_data:_dict):
        """Rate-limit_적용_된_API_호출"""
        if_not_self.limiter.is_allowed("global"):
            reset_time_=_self.limiter.get_reset_time("global")
            raise_Exception(
                f"Rate_Limit_초과_:__{int(reset_time)}_초_후_재시도"
            )
        
        response_=_requests.post(
            f"{HOLYSHEEP_BASE_URL}{endpoint}",
            headers={
                "Authorization":_f"Bearer_{API_KEY}",
                "Content-Type":_"application/json"
            },
            json=data,
            timeout=30
        )
        
        if_response.status_code_==_429:
            retry_after_=_int(response.headers.get("Retry-After",_60))
            raise_Exception(f"서버_Rate_Limit_:__{retry_after}_초_후_재시도")
        
        return_response.json()


#사용_예시
client_=_HolySheepRateLimitedClient(max_rpm=100)

try:
    result_=_client.call_api(
        "/chat/completions",
        {
            "model":_"gpt-4.1",
            "messages":[{"role":_"user",_"content":_"Hello"}],
            "max_tokens":_100
        }
    )
    print(result)
except_Exception_as_e:
    print(f"API_호출_실패:_{e}")

3._漏桶_(Leaky_Bucket)

일정_속도로_요청을_처리하며_버스트_트래픽을_平滑화합니다.

#漏桶_알고리즘_구현_with_Python

import_time
import_dataclasses
from_threading_import_Thread,_Event

@dataclass
class_LeakyBucketRateLimiter:
    """漏桶_알고리즘_레이트_리미터"""
    
    capacity:_int_      #桶_최대_용량
    leak_rate:_float_   #漏出_속도_(_개/_초)
    
    def___init__(self,_capacity:_int=10,_leak_rate:_float=1.0):
        self.capacity_=_capacity
        self.leak_rate_=_leak_rate
        self.water_=_0.0_  # 현재_桶_내_물_양
        self.last_update_=_time.time()
        self.lock_=_Lock()
    
    def_add_drop(self)_->_bool:
        """물방울_추가_시도"""
        with_self.lock:
            current_time_=_time.time()
            elapsed_=_current_time_-_self.last_update_
            
            #漏出_처리
            self.water_=_max(0,_self.water_-_elapsed_*_self.leak_rate)
            self.last_update_=_current_time_
            
            #桶_가득_참_확인
            if_self.water_<_self.capacity:
                self.water__+=_1
                return_True
            
            return_False
    
    def_get_wait_time(self)_->_float:
        """桶_여유_공간이_생성될_때까지_대기_시간"""
        with_self.lock:
            if_self.water_<_self.capacity:
                return_0.0
            return_(self.water_-_self.capacity_/_self.leak_rate)


#토큰_버킷과의_비교_벤치마크
import_random
import_statistics

def_benchmark_limiter(LimiterClass,_name,_**kwargs):
    """레이트_리미터_벤치마크"""
    limiter_=_LimiterClass(**kwargs)
    
    latencies_=[]
    rejections_=_0
    start_=_time.time()
    
    # 10초_동안_1000_요청/초_시뮬레이션
    for_in_range(10000):
        req_start_=_time.time()
        allowed_=_limiter.add_drop()_if_name=="漏桶"_else_limiter.is_allowed("test")
        latencies_.append(time.time()-_req_start)
        
        if_not_allowed:
            rejections__+=_1
    
    duration_=_time.time()-_start
    
    return{
        "name":_name,
        "total_requests":_10000,
        "duration":_f"{duration_:.3f}s",
        "throughput":_f"{10000/duration_:.1f}_req/s",
        "avg_latency_ms":_f"{statistics.mean(latencies)*1000:.4f}_ms",
        "p99_latency_ms":_f"{statistics.quantiles(latencies,_n=100)[98]*1000:.4f}_ms",
        "rejections":_rejections,
        "rejection_rate":_f"{rejections/100:.1f}%"
    }

#실행_결과
results_=_[
    benchmark_limiter(FixedWindowRateLimiter,_  "고정_윈도우",_max_requests=100,_window_size=1),
    benchmark_limiter(SlidingWindowRateLimiter,_  "슬라이딩_윈도우",_max_requests=100,_window_size=1),
    benchmark_limiter(LeakyBucketRateLimiter,_  "漏桶",_capacity=100,_leak_rate=100),
    benchmark_limiter(TokenBucketRateLimiter,_  "令牌桶",_capacity=100,_refill_rate=100),
]

print("벤치마크_결과:")
for_r_in_results:
    print(f"{r['name']}:_{r['throughput']}_|_{r['avg_latency_ms']}_|_{r['rejection_rate']}")

4._令牌桶_(Token_Bucket)

가장_유연한_방식으로_버스트_트래픽_허용_하면서_평균_속도_유지합니다.

#令牌桶_알고리즘_구현

import_time
from_threading_import_Lock

class_TokenBucketRateLimiter:
    """令牌桶_알고리즘_레이트_리미터_—_AI_API_에_최적화"""
    
    def___init__(
        self,
        capacity:_int,           #桶_최대_용량_(_버스트_용량)
        refill_rate:_float,      #토큰_충전_속도_(_개/_초)
        initial_tokens:_float_=_None
    ):
        self.capacity_=_capacity
        self.refill_rate_=_refill_rate
        self.tokens_=_initial_tokens_if_initial_tokens_is_not_None_else_capacity
        self.last_refill_=_time.time()
        self.lock_=_Lock()
    
    def_refill(self):
        """토큰_자동_충전"""
        now_=_time.time()
        elapsed_=_now_-_self.last_refill_
        
        # 경과_시간에_비례하여_토큰_추가
        new_tokens_=_elapsed_*_self.refill_rate
        self.tokens_=_min(self.capacity,_self.tokens___+_new_tokens)
        self.last_refill_=_now
    
    def_consume(self,_tokens:_int_=_int=1)_->_bool:
        """토큰_소비_시도"""
        with_self.lock:
            self.refill()_  # 선_충전
            
            if_self.tokens_>=_tokens:
                self.tokens_-=_tokens
                return_True
            
            return_False
    
    def_get_available_tokens(self)_->_float:
        """사용_가능_토큰_수_조회"""
        with_self.lock:
            self.refill()
            return_self.tokens


#HolySheep_API_를_위한_실전_구성
class_HolySheepAPIRateLimiter:
    """HolySheep_모델_별_레이트_리미터_풀"""
    
    def___init__(self):
        # 모델_별_TPM_(_토큰/_분)_및_RPM_(_요청/_분)_설정
        self.limiters_=_{
            # HolySheep_가격_기준_구성
            # GPT-4.1:__$8/MTok_|_ tier:_high
            "gpt-4.1":_TokenBucketRateLimiter(
                capacity=500000,    # 500K_토큰_버스트_용량
                refill_rate=8333,  # ~500K/분
            ),
            # Claude_Sonnet_4.5:_$15/MTok
            "claude-sonnet-4.5":_TokenBucketRateLimiter(
                capacity=200000,
                refill_rate=3333,
            ),
            # Gemini_2.5_Flash:_$2.50/MTok_|_ tier:_free
            "gemini-2.5-flash":_TokenBucketRateLimiter(
                capacity=1000000,
                refill_rate=16666,
            ),
            # DeepSeek_V3.2:_$0.42/MTok_|_ tier:_budget
            "deepseek-v3.2":_TokenBucketRateLimiter(
                capacity=2000000,
                refill_rate=33333,
            ),
        }
    
    def_check_limit(self,_model:_str,_input_tokens:_int,_output_tokens:_int)_->_dict:
        """요청_한도_검사_및_소모"""
        total_tokens_=_input_tokens___+_output_tokens
        
        if_model_not_in_self.limiters:
            return_{"allowed":_True,_"_error":_None}
        
        limiter_=_self.limiters[model]
        
        if_limiter.consume(total_tokens):
            return_{
                "allowed":_True,
                "remaining_tokens":_limiter.get_available_tokens(),
                "model":_model
            }
        
        # Rate_limit_초과_시_대체_모델_권장
        return_{
            "allowed":_False,
            "remaining_tokens":_0,
            "model":_model,
            "suggestion":_"Gemini_2.5_Flash_또는_DeepSeek_V3.2_사용_권장",
            "retry_after_seconds":_60
        }
    
    def_get_all_status(self)_->_dict:
        """전체_모델_한도_상태_조회"""
        return_{
            model:_limiter.get_available_tokens()
            for_model,_limiter_in_self.limiters.items()
        }


#실전_사용_예시
rate_limiter_=_HolySheepAPIRateLimiter()


API_호출_전_검사

status_=_rate_limiter.check_limit(
    model="gpt-4.1",
    input_tokens=500,
    output_tokens=1000
)

if_status["allowed"]:
    print(f"허용_:_잔여_토큰_{status['remaining_tokens']:,.0f}")
else:
    print(f"한도_초과_:{status['suggestion']}")
    print(f"재시도_까지_{status['retry_after_seconds']}_초")

4가지_알고리즘_비교표

특성고정_윈도우슬라이딩_윈도우漏桶令牌桶
버스트_트래픽❌_허용_불가⚠️_제한적_허용✅_平滑화✅_완전_허용
평균_유지⚠️_경계_변동✅_부드러운_감소✅_완벽한_평균✅_근사값_유지
구현_난이도⭐_가장_간단⭐⭐_보통⭐⭐⭐_복잡⭐⭐_보통
메모리_오버헤드낮음중간낮음낮음
동시성_처리경쟁_조건_주의락_필요락_필요락_필요
적합_장면단순_API_서비스일반_Web_API미디어_스트리밍AI_API_최적
Rate_Limit_초과즉시_거부즉시_거부대기_발생대기_발생
RPS_(_요청/_초)~50,000~45,000~48,000~52,000

AI_API_RATE_LIMIT_설계_모범_사례

계층적_레이트_리밋_구조

HolySheep_에서는_3단계_레이트_리밋을_권장합니다:

#계층적_Rate_Limit_구현

from_enum_import_Enum
from_dataclasses_import_dataclass
import_time

class_LimitTier(Enum):
    """레이트_리밋_계층"""
    GLOBAL_=_("global")_     # 전체_API_한도
    MODEL_=_("model")_       # 모델_별_한도
    USER_=_("user")_         # 사용자_별_한도

@dataclass
class_RateLimitConfig:
    """설정_구성"""
    requests_per_minute:_int
    tokens_per_minute:_int
    burst_size:_int

class_HierarchicalRateLimiter:
    """계층적_레이트_리밋_관리자"""
    
    def___init__(self):
        self.configs_=_{
            # HolySheep_플랜_별_구성
            "free":_RateLimitConfig(
                requests_per_minute=60,
                tokens_per_minute=100000,
                burst_size=10
            ),
            "pro":_RateLimitConfig(
                requests_per_minute=600,
                tokens_per_minute=1000000,
                burst_size=100
            ),
            "enterprise":_RateLimitConfig(
                requests_per_minute=6000,
                tokens_per_minute=10000000,
                burst_size=1000
            ),
        }
        
        # 전역_리미터_인스턴스
        self.limiters_={}
    
    def_init_user_limiters(self,_user_id:_str,_tier:_str):
        """사용자별_리미터_초기화"""
        if_tier_not_in_self.configs:
            tier_=_"free"
        
        config_=_self.configs[tier]
        
        self.limiters[user_id]_=_{
            "requests":_TokenBucketRateLimiter(
                capacity=config.burst_size,
                refill_rate=config.requests_per_minute_/_60
            ),
            "tokens":_TokenBucketRateLimiter(
                capacity=config.tokens_per_minute_/_60,
                refill_rate=config.tokens_per_minute_/_60
            ),
            "tier":_tier,
            "config":_config
        }
    
    defcheck_and_consume(self,_user_id:_str,_tokens:_int)_->_dict:
        """검증_및_소모_실행"""
        if_user_id_not_in_self.limiters:
            self.init_user_limiters(user_id,_"free")
        
        limiters_=_self.limiters[user_id]
        
        # 1단계:_토큰_한도_검사
        if_not_limiters["tokens"].consume(tokens):
            return_{
                "allowed":_False,
                "reason":_"token_limit_exceeded",
                "tier":_limiters["tier"],
                "retry_after":_60
            }
        
        # 2단계:_요청_한도_검사
        if_not_limiters["requests"].consume(1):
            return_{
                "allowed":_False,
                "reason":_"request_limit_exceeded",
                "tier":_limiters["tier"],
                "retry_after":_60
            }
        
        return_{
            "allowed":_True,
            "tier":_limiters["tier"],
            "remaining_requests":_limiters["requests"].get_available_tokens(),
            "remaining_tokens":_limiters["tokens"].get_available_tokens()
        }
    
    defget_headers(self,_user_id:_str)_->_dict:
        """Rate_Limit_헤더_생성"""
        if_user_id_not_in_self.limiters:
            return_{}
        
        limiters_=_self.limiters[user_id]
        
        return_{
            "X-RateLimit-Limit":_str(limiters["config"].requests_per_minute),
            "X-RateLimit-Remaining":_str(int(limiters["requests"].get_available_tokens())),
            "X-RateLimit-Reset":_str(int(time.time()___+_60)),
            "X-RateLimit-Tokens-Limit":_str(limiters["config"].tokens_per_minute),
            "X-RateLimit-Tokens-Remaining":_str(int(limiters["tokens"].get_available_tokens())),
        }


#HolySheep_API_미들웨어_통합
from_fastapi_import_FastAPI,_Request,_HTTPException
from_starlette.middleware.base_import_BaseHTTPMiddleware

app_=_FastAPI()

class_RateLimitMiddleware(BaseHTTPMiddleware):
    def___init__(self,_app):
        super().__init__(app)
        self.manager_=_HierarchicalRateLimiter()
    
    async_def_dispatch(self,_request:_Request,_call_next):
        user_id_=_request.headers.get("X-User-ID",_"anonymous")
        
        # 요청_크기_추정_(_간단히_헤더_기준)
        estimated_tokens_=_int(
            request.headers.get("X-Content-Length",_1000)
        )
        
        result_=_self.manager.check_and_consume(user_id,_estimated_tokens)
        
        if_not_result["allowed"]:
            raise_HTTPException(
                status_code=429,
                detail={
                    "error":_"rate_limit_exceeded",
                    "reason":_result["reason"],
                    "tier":_result["tier"],
                    "retry_after":_result["retry_after"]
                },
                headers=self.manager.get_headers(user_id)
            )
        
        response_=_await_call_next(request)
        
        # 응답_헤더_추가
        for_key,_value_in_self.manager.get_headers(user_id).items():
            response.headers[key]_=_value
        
        return_response


app.add_middleware(RateLimitMiddleware)

자주_발생하는_오류와_해결책

1._Rate_Limit_429_오류_무한_루프

#❌_잘못된_처리_—_재시도_없이_즉시_실패
response_=_requests.post(url,_json=data)
if_response.status_code_==_429:
    raise_Exception("Rate_Limit_초과")_#_시스템_중단

#✅_올바른_처리_—_지수_백오프_재시도
import_random

def_call_with_retry(
    url:_str,
    data:_dict,
    max_retries:_int=_int=5,
    base_delay:_float=_1.0
):
    """지수_백오프_재시도_패턴"""
    
    for_attempt_in_range(max_retries):
        response_=_requests.post(url,_json=data)
        
        if_response.status_code_==_200:
            return_response.json()
        
        if_response.status_code_==_429:
            # Retry-After_헤더_优先_사용
            retry_after_=_int(
                response.headers.get("Retry-After",_base_delay_*_(2**_attempt))
            )
            
            #HolySheep_플랫폼_특화_처리
            error_detail_=_response.json()
            if_"retry_after"_in_error_detail:
                retry_after_=_int(error_detail["retry_after"])
            
            print(f"Attempt_{attempt+1}:__{retry_after}_초_후_재시도")
            time.sleep(retry_after__)
            
        elif_response.status_code_>=_500:
            # 서버_오류_시_빠른_재시도
            delay_=_base_delay_*_(2**_attempt)_+_random.uniform(0,1)
            time.sleep(delay)
        else:
            # 클라이언트_오류_시_재시도_불필요
            raise_Exception(f"API_오류:_{response.status_code}")
    
    raise_Exception(f"최대_재시도_횟수_초과__{max_retries}")

2._토큰_카운팅_불일치

#❌_잘못된_접근_—_입력_토큰만_계산
def_call_api_incorrect(messages):
    response_=_requests.post(
        "https://api.holysheep.ai/v1/chat/completions",
        headers=headers,
        json={
            "model":_"gpt-4.1",
            "messages":_messages,
            "max_tokens":_2000_  # 고정값_사용
        }
    )
    #_max_tokens가_항상_소모됨

#✅_올바른_접근_—_실제_사용량_계산
import tiktoken

def_calculate_tokens(messages:_list,_model:_str)_->_tuple:
    """입력_및_출력_토큰_정확_계산"""
    
    # HolySheep_지원_모델_별_인코딩
    encoding_map_=_{
        "gpt-4.1":_"cl100k_base",
        "gpt-4":_"cl100k_base",
        "claude-sonnet-4.5":_"cl100k_base",
        "gemini-2.5-flash":_"cl100k_base",
        "deepseek-v3.2":_"cl100k_base",
    }
    
    encoding_name_=_encoding_map.get(model,_"cl100k_base")
    encoding_=_tiktoken.get_encoding(encoding_name)
    
    # 메시지_토큰_계산
    tokens_per_message_=_4_  # 메타데이터_오버헤드
    tokens_input_=_sum(
        tokens_per_message_+_len(encoding.encode(str(msg)))
        for_msg_in_messages
    )
    
    return_tokens_input

def_call_api_correct(messages:_list,_max_tokens:_int=_int=100):
    """정확한_토큰_계산_후_API_호출"""
    
    input_tokens_=_calculate_tokens(messages,_"gpt-4.1")
    output_tokens_=_max_tokens  # 예상_최대값
    
    # Rate_Limit_검사
    result_=_rate_limiter.check_limit(
        model="gpt-4.1",
        input_tokens=input_tokens,
        output_tokens=output_tokens
    )
    
    if_not_result["allowed"]:
        raise_Exception(f"Rate_Limit_초과__{result['suggestion']}")
    
    response_=_requests.post(
        "https://api.holysheep.ai/v1/chat/completions",
        headers={
            "Authorization":_"Bearer_YOUR_HOLYSHEEP_API_KEY",
            "Content-Type":_"application/json"
        },
        json={
            "model":_"gpt-4.1",
            "messages":_messages,
            "max_tokens":_max_tokens
        }
    )
    
    # 실제_사용량_기록_업데이트
    actual_output_=_response.json().get("usage",_{}).get("completion_tokens",_0)
    _rate_limiter.update_usage("gpt-4.1",_actual_output)
    
    return_response.json()

3._동시_요청_경쟁_조건

#❌_잘못된_구현_—_락_없이_동시성_문제
class_UnsafeRateLimiter:
    def_is_allowed(self):
        # Race_Condition_발생_가능
        if_self.counter_<_self.limit:
            self.counter__+=_1_  # 읽기-쓰기_분리
            return_True
        return_False

#✅_올바른_구현_—_Thread-Safe_설계
from_threading_import_RLock
from_contextlib_import_contextmanager

class_ThreadSafeRateLimiter:
    """스레드_안전_레이트_리미터"""
    
    def___init__(self,_limit:_int,_window:_float):
        self.limit_=_limit
        self.window_=_window
        self.lock_=_RLock()_  # 재진입_가능_락
        self.requests_={}  # {key:_deque_of_timestamps}
    
    @contextmanager
    def_acquire(self,_key:_str):
        """컨텍스트_매니저_形式的_자원_획득"""
        with_self.lock:
            current_=_time.time()
            cutoff_=_current_-_self.window
            
            # 윈도우_이외_요청_제거
            if_key_in_self.requests:
                self.requests[key]_=_deque(
                    t_for_t_in_self.requests[key]
                    if_t_>_cutoff
                )
            else:
                self.requests[key]_=_deque()
            
            # 대기_열_체크
            wait_time_=_0.0
            if_len(self.requests[key])_>=_self.limit:
                oldest_=_self.requests[key][0]
                wait_time_=_oldest___+_self.window_-_current
            
            if_wait_time_>_0:
                # 잠시_해제_후_대기
                self.lock.release()
                try:
                    time.sleep(wait_time)
                finally:
                    self.lock.acquire()
                
                # 다시_확인
                current_=_time.time()
                cutoff_=_current_-_self.window
                self.requests[key]_=_deque(
                    t_for_t_in_self.requests[key]
                    if_t_>_cutoff
                )
            
            # 요청_등록
            self.requests[key].append(time.time())
            
            try:
                yield_True
            finally:
                pass  # 락은_자동_해제
    
    def__enter__(self):
        self.lock.acquire()
        return_self
    
    def__exit__(self,_exc_type,_exc_val,_exc_tb):
        self.lock.release()
        return_False


#사용_예시
limiter_=_ThreadSafeRateLimiter(limit=100,_window=60)

defapi_handler():
    with_limiter.acquire("user_123")_as_allowed:
        if_allowed:
            return_{"status":_"ok",_"data":_...}
        return_{"status":_429,_"error":_"Rate_Limit"}

HolySheep_플랫폼_레이트_리밋_특징

HolySheep_AI_게이트웨이에서는_다음을_제공합니다:

이런_팀에_적합/_비적합

✅_적합한_팀