HolySheep API Health Check Automated Failover: Hướng Dẫn Toàn Diện 2026

Trong quá trình vận hành hệ thống AI tại doanh nghiệp, tôi đã trải qua không ít lần "heart attack" khi API của nhà cung cấp chỉ đơn giản... biến mất không dấu vết. Một buổi sáng Thứ Hai, hệ thống chat AI của khách hàng ngừng hoạt động hoàn toàn vì provider bảo trì không thông báo trước. Kể từ đó, tôi đã nghiên cứu và triển khai automated failover cho HolySheep API — giải pháp không chỉ giám sát health mà còn tự động chuyển đổi provider khi cần.

Vì Sao Health Check Quan Trọng Với Production System

Health check không chỉ là "ping thử xem sống không". Đó là nền tảng của hệ thống resilient — khả năng tự phục hồi khi có sự cố. Với HolySheep API, tôi đã thiết lập hệ thống giám sát real-time với các metric cụ thể:

• Độ trễ trung bình: Duy trì dưới 50ms cho các request health check
• Tỷ lệ thành công: Target 99.9% uptime với failover tự động
• Thời gian phát hiện lỗi: Không quá 5 giây từ lúc down đến khi nhận alert
• Recovery time: Tự động chuyển provider trong vòng 10-15 giây

Triển Khai HolySheep Health Check Automated Failover

1. Thiết Lập Base Configuration

"""
HolySheep API Health Check & Automated Failover System
Triển khai bởi HolySheep AI Technical Team
"""

import requests
import time
import logging
from datetime import datetime, timedelta
from typing import Dict, List, Optional
from dataclasses import dataclass
from enum import Enum
import threading
import json

Configuration - HolySheep API
HOLYSHEEP_BASE_URL = "https://api.holysheep.ai/v1"
HOLYSHEEP_API_KEY = "YOUR_HOLYSHEEP_API_KEY"  # Thay bằng API key thực tế

class ProviderStatus(Enum):
    HEALTHY = "healthy"
    DEGRADED = "degraded"
    UNHEALTHY = "unhealthy"
    UNKNOWN = "unknown"

@dataclass
class ProviderMetrics:
    provider_name: str
    base_url: str
    api_key: str
    status: ProviderStatus
    latency_ms: float
    success_rate: float
    consecutive_failures: int
    last_check: datetime
    cooldown_until: Optional[datetime] = None

class HolySheepHealthChecker:
    """
    Health checker với automated failover cho HolySheep API
    Features: Real-time monitoring, automatic failover, rate limit handling
    """
    
    def __init__(self, check_interval: int = 10, failure_threshold: int = 3):
        self.providers: List[ProviderMetrics] = []
        self.check_interval = check_interval
        self.failure_threshold = failure_threshold
        self.current_provider_idx = 0
        self.logger = logging.getLogger(__name__)
        
        # Initialize HolySheep as primary provider
        self.add_provider(
            name="holysheep-primary",
            base_url=HOLYSHEEP_BASE_URL,
            api_key=HOLYSHEEP_API_KEY
        )
    
    def add_provider(self, name: str, base_url: str, api_key: str):
        """Thêm provider vào danh sách giám sát"""
        provider = ProviderMetrics(
            provider_name=name,
            base_url=base_url,
            api_key=api_key,
            status=ProviderStatus.UNKNOWN,
            latency_ms=0.0,
            success_rate=100.0,
            consecutive_failures=0,
            last_check=datetime.min
        )
        self.providers.append(provider)
        self.logger.info(f"Added provider: {name} ({base_url})")
    
    def check_health(self, provider: ProviderMetrics) -> Dict:
        """
        Kiểm tra health của một provider cụ thể
        Sử dụng /models endpoint vì nó nhẹ và không tốn credits
        """
        start_time = time.time()
        health_url = f"{provider.base_url}/models"
        
        try:
            response = requests.get(
                health_url,
                headers={"Authorization": f"Bearer {provider.api_key}"},
                timeout=5
            )
            
            latency = (time.time() - start_time) * 1000  # Convert to ms
            
            if response.status_code == 200:
                return {
                    "success": True,
                    "latency_ms": latency,
                    "status_code": response.status_code,
                    "response_time": response.elapsed.total_seconds() * 1000
                }
            else:
                return {
                    "success": False,
                    "latency_ms": latency,
                    "status_code": response.status_code,
                    "error": f"HTTP {response.status_code}"
                }
                
        except requests.exceptions.Timeout:
            return {
                "success": False,
                "latency_ms": 5000,
                "error": "Connection timeout"
            }
        except requests.exceptions.ConnectionError:
            return {
                "success": False,
                "latency_ms": 0,
                "error": "Connection refused"
            }
        except Exception as e:
            return {
                "success": False,
                "latency_ms": 0,
                "error": str(e)
            }
    
    def update_provider_metrics(self, provider: ProviderMetrics, result: Dict):
        """Cập nhật metrics cho provider sau mỗi lần check"""
        provider.last_check = datetime.now()
        provider.latency_ms = result.get("latency_ms", 0)
        
        if result["success"]:
            provider.consecutive_failures = 0
            # Tính toán success rate với exponential moving average
            provider.success_rate = (provider.success_rate * 0.9) + 10
            
            if provider.status != ProviderStatus.HEALTHY:
                provider.status = ProviderStatus.HEALTHY
                self.logger.info(f"Provider {provider.provider_name} is now HEALTHY")
        else:
            provider.consecutive_failures += 1
            # Giảm success rate
            provider.success_rate = provider.success_rate * 0.9
            
            if provider.consecutive_failures >= self.failure_threshold:
                provider.status = ProviderStatus.UNHEALTHY
                self.logger.warning(
                    f"Provider {provider.provider_name} marked UNHEALTHY "
                    f"after {provider.consecutive_failures} failures"
                )
    
    def should_failover(self, provider: ProviderMetrics) -> bool:
        """Quyết định có nên failover hay không"""
        # Kiểm tra cooldown
        if provider.cooldown_until and datetime.now() < provider.cooldown_until:
            return False
        
        # Failover nếu provider unhealthy hoặc latency > 2000ms
        if provider.status == ProviderStatus.UNHEALTHY:
            return True
        
        if provider.latency_ms > 2000:  # 2 seconds timeout threshold
            return True
        
        return False
    
    def execute_failover(self):
        """
        Thực hiện failover sang provider khác
        Cập nhật current_provider_idx để sử dụng provider tiếp theo
        """
        # Tìm provider healthy tiếp theo
        original_idx = self.current_provider_idx
        
        for i in range(len(self.providers)):
            next_idx = (original_idx + i + 1) % len(self.providers)
            next_provider = self.providers[next_idx]
            
            if next_provider.status == ProviderStatus.HEALTHY:
                # Đánh dấu provider hiện tại vào cooldown
                current_provider = self.providers[original_idx]
                current_provider.cooldown_until = datetime.now() + timedelta(minutes=5)
                
                self.current_provider_idx = next_idx
                self.logger.warning(
                    f"FAILOVER: Switched from {current_provider.provider_name} "
                    f"to {next_provider.provider_name}"
                )
                return True
        
        self.logger.error("FAILOVER FAILED: No healthy provider available!")
        return False
    
    def get_current_provider(self) -> ProviderMetrics:
        """Lấy provider hiện tại đang active"""
        return self.providers[self.current_provider_idx]
    
    def make_request(self, endpoint: str, method: str = "GET", **kwargs):
        """
        Thực hiện request với automatic failover
        """
        max_retries = len(self.providers)
        
        for attempt in range(max_retries):
            provider = self.get_current_provider()
            
            try:
                url = f"{provider.base_url}{endpoint}"
                headers = {
                    "Authorization": f"Bearer {provider.api_key}",
                    "Content-Type": "application/json"
                }
                headers.update(kwargs.get("headers", {}))
                
                response = requests.request(
                    method=method,
                    url=url,
                    headers=headers,
                    timeout=30,
                    **kwargs
                )
                
                if response.status_code < 500:
                    return response
                
                # Server error - failover
                self.logger.warning(
                    f"Request failed with {response.status_code}, attempting failover..."
                )
                self.execute_failover()
                
            except requests.exceptions.Timeout:
                self.logger.warning("Request timeout, attempting failover...")
                self.execute_failover()
            except requests.exceptions.ConnectionError:
                self.logger.warning("Connection error, attempting failover...")
                self.execute_failover()
        
        raise Exception("All providers exhausted - request failed")

Khởi tạo health checker
health_checker = HolySheepHealthChecker(
    check_interval=10,
    failure_threshold=3
)

print("HolySheep Health Check System initialized successfully!")
print(f"Primary endpoint: {HOLYSHEEP_BASE_URL}")

2. Triển Khhai Monitoring Dashboard Với Real-time Metrics

"""
HolySheep API Monitoring Dashboard
Real-time visualization và alerting cho health check system
"""

import dash
from dash import dcc, html
from dash.dependencies import Input, Output
import plotly.graph_objs as go
from plotly.subplots import make_subplots
import redis
import time
from datetime import datetime, timedelta
import threading
from collections import deque

Simulated metrics storage (thay thế bằng Redis trong production)
class MetricsStore:
    def __init__(self, max_points: int = 100):
        self.timestamps = deque(maxlen=max_points)
        self.latencies = deque(maxlen=max_points)
        self.success_rates = deque(maxlen=max_points)
        self.failover_events = deque(maxlen=max_points)
    
    def add_metric(self, latency: float, success_rate: float):
        self.timestamps.append(datetime.now())
        self.latencies.append(latency)
        self.success_rates.append(success_rate)
    
    def add_failover_event(self, from_provider: str, to_provider: str):
        self.failover_events.append({
            "time": datetime.now(),
            "from": from_provider,
            "to": to_provider
        })

Initialize Dash app
app = dash.Dash(__name__)

Metrics store
metrics_store = MetricsStore()

HolySheep API Configuration
HOLYSHEEP_CONFIG = {
    "base_url": "https://api.holysheep.ai/v1",
    "models": {
        "gpt-4.1": {"cost_per_1k": 0.008, "latency_target": 1500},
        "claude-sonnet-4.5": {"cost_per_1k": 0.015, "latency_target": 2000},
        "gemini-2.5-flash": {"cost_per_1k": 0.0025, "latency_target": 500},
        "deepseek-v3.2": {"cost_per_1k": 0.00042, "latency_target": 300}
    },
    "pricing_tiers": {
        "basic": {"rate_limit": 100, "monthly_cost": 29},
        "pro": {"rate_limit": 1000, "monthly_cost": 99},
        "enterprise": {"rate_limit": 10000, "monthly_cost": 299}
    }
}

def create_layout():
    """Tạo dashboard layout với HolySheep branding"""
    return html.Div([
        # Header
        html.Div([
            html.H1("HolySheep AI — System Health Dashboard",
                    style={"color": "#6366F1", "textAlign": "center"}),
            html.P(f"Last updated: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}",
                   id="last-update", style={"textAlign": "center", "color": "#9CA3AF"})
        ], style={"padding": "20px", "backgroundColor": "#1F2937", "borderRadius": "10px"}),
        
        # Status Cards
        html.Div([
            # Current Status Card
            html.Div([
                html.H3("System Status", style={"color": "#10B981"}),
                html.H2(id="system-status", children="HEALTHY",
                       style={"color": "#10B981", "fontSize": "48px"}),
                html.P(id="uptime-percentage", children="99.98% Uptime")
            ], className="four columns", style={
                "backgroundColor": "#1F2937", "padding": "20px",
                "borderRadius": "10px", "textAlign": "center"
            }),
            
            # Latency Card
            html.Div([
                html.H3("Avg Latency", style={"color": "#F59E0B"}),
                html.H2(id="avg-latency", children="42ms",
                       style={"color": "#F59E0B", "fontSize": "48px"}),
                html.P("Target: <50ms ✓")
            ], className="four columns", style={
                "backgroundColor": "#1F2937", "padding": "20px",
                "borderRadius": "10px", "textAlign": "center"
            }),
            
            # Cost Savings Card
            html.Div([
                html.H3("Monthly Cost", style={"color": "#8B5CF6"}),
                html.H2(id="monthly-cost", children="$127",
                       style={"color": "#8B5CF6", "fontSize": "48px"}),
                html.P("vs $890 OpenAI — 86% savings")
            ], className="four columns", style={
                "backgroundColor": "#1F2937", "padding": "20px",
                "borderRadius": "10px", "textAlign": "center"
            })
        ], className="row", style={"marginTop": "20px"}),
        
        # Charts Row
        html.Div([
            # Latency Chart
            html.Div([
                dcc.Graph(id="latency-chart")
            ], className="six columns", style={"backgroundColor": "#1F2937", "padding": "15px"}),
            
            # Success Rate Chart
            html.Div([
                dcc.Graph(id="success-rate-chart")
            ], className="six columns", style={"backgroundColor": "#1F2937", "padding": "15px"})
        ], className="row", style={"marginTop": "20px"}),
        
        # Provider Table
        html.Div([
            html.H2("Provider Status", style={"color": "#F3F4F6"}),
            html.Table([
                html.Thead(
                    html.Tr([
                        html.Th("Provider"),
                        html.Th("Status"),
                        html.Th("Latency"),
                        html.Th("Success Rate"),
                        html.Th("Last Check")
                    ])
                ),
                html.Tbody([
                    html.Tr([
                        html.Td("HolySheep Primary"),
                        html.Td(html.Span("●", style={"color": "#10B981"}), "HEALTHY"),
                        html.Td("42ms"),
                        html.Td("99.98%"),
                        html.Td(datetime.now().strftime("%H:%M:%S"))
                    ])
                ])
            ], style={"width": "100%", "color": "#F3F4F6"})
        ], style={"backgroundColor": "#1F2937", "padding": "20px", "borderRadius": "10px", "marginTop": "20px"}),
        
        # Pricing Comparison Table
        html.Div([
            html.H2("HolySheep Pricing vs Competition (2026)", style={"color": "#F3F4F6"}),
            html.Table([
                html.Thead(
                    html.Tr([
                        html.Th("Model"),
                        html.Th("HolySheep"),
                        html.Th("OpenAI"),
                        html.Th("Savings")
                    ])
                ),
                html.Tbody([
                    html.Tr([html.Td("GPT-4.1"), html.Td("$8/MTok"), html.Td("$60/MTok"), html.Td("86%")]),
                    html.Tr([html.Td("Claude Sonnet 4.5"), html.Td("$15/MTok"), html.Td("$45/MTok"), html.Td("67%")]),
                    html.Tr([html.Td("Gemini 2.5 Flash"), html.Td("$2.50/MTok"), html.Td("$15/MTok"), html.Td("83%")]),
                    html.Tr([html.Td("DeepSeek V3.2"), html.Td("$0.42/MTok"), html.Td("$2.50/MTok"), html.Td("83%")])
                ])
            ], style={"width": "100%", "color": "#F3F4F6"})
        ], style={"backgroundColor": "#1F2937", "padding": "20px", "borderRadius": "10px", "marginTop": "20px"}),
        
        # Auto-refresh interval
        dcc.Interval(
            id="interval-component",
            interval=5 * 1000,  # 5 seconds
            n_intervals=0
        )
    ])

app.layout = create_layout

@app.callback(
    [Output("latency-chart", "figure"),
     Output("success-rate-chart", "figure"),
     Output("avg-latency", "children"),
     Output("system-status", "children")],
    [Input("interval-component", "n_intervals")]
)
def update_metrics(n):
    """Cập nhật metrics mỗi 5 giây"""
    # Simulated data - trong production lấy từ health checker
    current_latency = 42 + (n % 10)
    current_success_rate = 99.9 + (n % 2) * 0.09
    
    # Latency Chart
    latency_fig = go.Figure()
    latency_fig.add_trace(go.Scatter(
        y=[42, 45, 38, 50, 42, 44, 39, 41, 43, current_latency],
        mode="lines+markers",
        name="Latency (ms)",
        line=dict(color="#F59E0B", width=3)
    ))
    latency_fig.update_layout(
        title="API Response Latency",
        yaxis_title="Latency (ms)",
        plot_bgcolor="#374151",
        paper_bgcolor="#1F2937",
        font=dict(color="#F3F4F6")
    )
    
    # Success Rate Chart
    success_fig = go.Figure()
    success_fig.add_trace(go.Scatter(
        y=[99.9, 99.95, 100, 99.98, 99.99, 100, 99.97, 99.99, 100, current_success_rate],
        mode="lines+markers",
        name="Success Rate (%)",
        line=dict(color="#10B981", width=3)
    ))
    success_fig.update_layout(
        title="Request Success Rate",
        yaxis_title="Success Rate (%)",
        plot_bgcolor="#374151",
        paper_bgcolor="#1F2937",
        font=dict(color="#F3F4F6")
    )
    
    status = "HEALTHY" if current_success_rate > 99.5 else "DEGRADED"
    
    return latency_fig, success_fig, f"{current_latency}ms", status

if __name__ == "__main__":
    print("Starting HolySheep Monitoring Dashboard...")
    print(f"API Base URL: {HOLYSHEEP_CONFIG['base_url']}")
    print("Dashboard available at: http://localhost:8050")
    app.run_server(debug=True, port=8050)

3. Production-Ready Failover Với Circuit Breaker Pattern

"""
Production-Ready HolySheep API Client với Circuit Breaker
Bao gồm: Retry logic, Rate limiting, Circuit breaker, Bulkhead isolation
"""

import time
import functools
from typing import Any, Callable, Optional
from datetime import datetime, timedelta
from enum import Enum
import threading
import queue
import requests
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry

class CircuitState(Enum):
    CLOSED = "closed"       # Normal operation
    OPEN = "open"           # Failing - reject requests
    HALF_OPEN = "half_open" # Testing recovery

class CircuitBreaker:
    """
    Circuit Breaker Implementation cho HolySheep API
    States: CLOSED -> OPEN -> HALF_OPEN -> CLOSED
    """
    
    def __init__(
        self,
        failure_threshold: int = 5,
        recovery_timeout: int = 60,
        expected_exception: type = Exception
    ):
        self.failure_threshold = failure_threshold
        self.recovery_timeout = recovery_timeout
        self.expected_exception = expected_exception
        
        self.failure_count = 0
        self.last_failure_time: Optional[datetime] = None
        self.state = CircuitState.CLOSED
        self._lock = threading.Lock()
    
    def call(self, func: Callable, *args, **kwargs) -> Any:
        """Execute function với circuit breaker protection"""
        with self._lock:
            if self.state == CircuitState.OPEN:
                if self._should_attempt_reset():
                    self.state = CircuitState.HALF_OPEN
                else:
                    raise CircuitBreakerOpenError(
                        f"Circuit breaker is OPEN. Next retry in "
                        f"{self._time_until_reset()} seconds."
                    )
        
        try:
            result = func(*args, **kwargs)
            self._on_success()
            return result
        except self.expected_exception as e:
            self._on_failure()
            raise
    
    def _should_attempt_reset(self) -> bool:
        """Kiểm tra xem có nên thử reset circuit không"""
        if self.last_failure_time is None:
            return True
        return (datetime.now() - self.last_failure_time).seconds >= self.recovery_timeout
    
    def _time_until_reset(self) -> int:
        """Tính số giây còn lại đến khi reset"""
        if self.last_failure_time is None:
            return 0
        elapsed = (datetime.now() - self.last_failure_time).seconds
        return max(0, self.recovery_timeout - elapsed)
    
    def _on_success(self):
        """Xử lý khi call thành công"""
        with self._lock:
            self.failure_count = 0
            if self.state == CircuitState.HALF_OPEN:
                self.state = CircuitState.CLOSED
                print(f"[{datetime.now()}] Circuit breaker CLOSED - recovery successful")
    
    def _on_failure(self):
        """Xử lý khi call thất bại"""
        with self._lock:
            self.failure_count += 1
            self.last_failure_time = datetime.now()
            
            if self.failure_count >= self.failure_threshold:
                self.state = CircuitState.OPEN
                print(f"[{datetime.now()}] Circuit breaker OPENED - too many failures")

class CircuitBreakerOpenError(Exception):
    """Exception raised when circuit breaker is open"""
    pass

class HolySheepAPIClient:
    """
    Production-ready HolySheep API Client
    Features:
    - Circuit breaker pattern
    - Automatic retry with exponential backoff
    - Rate limiting
    - Request queuing
    - Metrics collection
    """
    
    def __init__(
        self,
        api_key: str,
        base_url: str = "https://api.holysheep.ai/v1",
        rate_limit: int = 100,
        rate_period: int = 60
    ):
        self.api_key = api_key
        self.base_url = base_url
        self.circuit_breaker = CircuitBreaker(
            failure_threshold=5,
            recovery_timeout=60
        )
        
        # Setup session với retry strategy
        self.session = self._create_session()
        
        # Rate limiter
        self.rate_limit = rate_limit
        self.rate_period = rate_period
        self.request_times: queue.Queue = queue.Queue()
        
        # Metrics
        self.metrics = {
            "total_requests": 0,
            "successful_requests": 0,
            "failed_requests": 0,
            "circuit_breaker_trips": 0,
            "total_latency_ms": 0
        }
        self._metrics_lock = threading.Lock()
    
    def _create_session(self) -> requests.Session:
        """Tạo requests session với retry strategy"""
        session = requests.Session()
        
        retry_strategy = Retry(
            total=3,
            backoff_factor=1,
            status_forcelist=[429, 500, 502, 503, 504],
            allowed_methods=["GET", "POST"]
        )
        
        adapter = HTTPAdapter(max_retries=retry_strategy)
        session.mount("https://", adapter)
        session.mount("http://", adapter)
        
        return session
    
    def _check_rate_limit(self):
        """Kiểm tra và enforce rate limit"""
        now = time.time()
        
        # Remove old requests outside current window
        while not self.request_times.empty():
            if now - self.request_times.queue[0] > self.rate_period:
                self.request_times.get()
            else:
                break
        
        if self.request_times.qsize() >= self.rate_limit:
            sleep_time = self.rate_period - (now - self.request_times.queue[0])
            print(f"Rate limit reached. Sleeping for {sleep_time:.2f}s")
            time.sleep(sleep_time)
        
        self.request_times.put(now)
    
    def _make_request(
        self,
        method: str,
        endpoint: str,
        **kwargs
    ) -> requests.Response:
        """Make request với timing và metrics"""
        start_time = time.time()
        url = f"{self.base_url}{endpoint}"
        
        headers = kwargs.pop("headers", {})
        headers["Authorization"] = f"Bearer {self.api_key}"
        headers["Content-Type"] = "application/json"
        
        try:
            response = self.session.request(
                method=method,
                url=url,
                headers=headers,
                timeout=30,
                **kwargs
            )
            
            latency = (time.time() - start_time) * 1000
            
            with self._metrics_lock:
                self.metrics["total_requests"] += 1
                self.metrics["total_latency_ms"] += latency
                
                if response.status_code < 400:
                    self.metrics["successful_requests"] += 1
                else:
                    self.metrics["failed_requests"] += 1
            
            return response
            
        except requests.exceptions.RequestException as e:
            with self._metrics_lock:
                self.metrics["failed_requests"] += 1
            raise
    
    def chat_completions(self, messages: list, model: str = "gpt-4.1", **kwargs):
        """
        Gọi Chat Completions API với full protection
        
        Args:
            messages: List of message objects
            model: Model name (gpt-4.1, claude-sonnet-4.5, gemini-2.5-flash, deepseek-v3.2)
            **kwargs: Additional parameters (temperature, max_tokens, etc.)
        """
        self._check_rate_limit()
        
        def _do_request():
            return self._make_request(
                method="POST",
                endpoint="/chat/completions",
                json={
                    "model": model,
                    "messages": messages,
                    **kwargs
                }
            )
        
        try:
            response = self.circuit_breaker.call(_do_request)
            return response.json()
        except CircuitBreakerOpenError as e:
            print(f"Circuit breaker open: {e}")
            # Có thể implement fallback ở đây
            raise
    
    def embeddings(self, input_text: str, model: str = "text-embedding-3-large"):
        """Tạo embeddings với HolySheep API"""
        self._check_rate_limit()
        
        def _do_request():
            return self._make_request(
                method="POST",
                endpoint="/embeddings",
                json={
                    "model": model,
                    "input": input_text
                }
            )
        
        return self.circuit_breaker.call(_do_request).json()
    
    def get_metrics(self) -> dict:
        """Lấy metrics hiện tại"""
        with self._metrics_lock:
            total = self.metrics["total_requests"]
            if total > 0:
                return {
                    **self.metrics,
                    "success_rate": self.metrics["successful_requests"] / total * 100,
                    "avg_latency_ms": self.metrics["total_latency_ms"] / total,
                    "circuit_state": self.circuit_breaker.state.value
                }
            return {**self.metrics, "success_rate": 0, "avg_latency_ms": 0}

Khởi tạo client
client = HolySheepAPIClient(
    api_key="YOUR_HOLYSHEEP_API_KEY",
    base_url="https://api.holysheep.ai/v1",
    rate_limit=100,
    rate_period=60
)

Ví dụ sử dụng
if __name__ == "__main__":
    print("HolySheep Production Client initialized!")
    print(f"Base URL: {client.base_url}")
    
    # Test chat completion
    try:
        response = client.chat_completions(
            messages=[
                {"role": "system", "content": "Bạn là trợ lý AI hữu ích."},
                {"role": "user", "content": "Xin chào, giới thiệu về HolySheep API"}
            ],
            model="gpt-4.1",
            temperature=0.7,
            max_tokens=500
        )
        print(f"Response: {response['choices'][0]['message']['content']}")
    except CircuitBreakerOpenError:
        print("API temporarily unavailable - circuit breaker is open")
    
    # Print metrics
    print(f"Current metrics: {client.get_metrics()}")

Bảng So Sánh Chi Tiết: HolySheep vs Providers Khác