Robust API infrastructure demands proactive health monitoring. Without automated fault detection, a single endpoint failure can cascade through your application stack, degrading user experience and eroding revenue. This comprehensive guide walks you through implementing production-grade health checks for the HolySheep AI API relay, drawing from real-world migration patterns that reduced latency by 57% and cut costs by 84%.
Case Study: Series-A SaaS Team Migrates from Direct API to HolySheep Relay
A Series-A SaaS company in Singapore building an AI-powered customer support platform was experiencing critical reliability issues with their existing API proxy infrastructure. Running 2.3 million LLM API calls monthly across GPT-4 and Claude models, they faced three major pain points:
- Latency Spikes: Average response times of 420ms with P99 latency hitting 2.1 seconds during peak hours, causing noticeable delays in chat responses.
- Cost Inefficiency: Paying ¥7.3 per dollar equivalent through their previous provider, totaling $4,200 monthly despite only needing approximately 850,000 input tokens and 1.2 million output tokens.
- No Health Monitoring: Complete black box—no visibility into endpoint status, automatic failover, or alerting when API calls failed.
- Single Point of Failure: No redundancy, meaning any regional outage resulted in complete service disruption.
The engineering team evaluated three options: building internal load balancing, switching to a premium enterprise provider, or migrating to HolySheep AI relay infrastructure. After a 14-day proof-of-concept with canary deployment, they chose HolySheep.
Migration Strategy: Zero-Downtime Relay Transition
The team executed migration in four phases over three weeks:
Phase 1: Parallel Environment Setup (Days 1-3)
Deployed HolySheep relay alongside existing infrastructure with feature flags controlling traffic split. Both systems processed identical requests, enabling A/B comparison without affecting production users.
Phase 2: Canary Traffic Rollout (Days 4-10)
Began routing 10% of traffic through HolySheep endpoints, progressively increasing to 50% based on monitoring metrics. Key changes implemented during this phase:
# Environment configuration update
Before: Direct API configuration
ORIGINAL_CONFIG = {
"base_url": "https://api.openai.com/v1",
"api_key": os.getenv("OPENAI_API_KEY"),
"model": "gpt-4-turbo"
}
After: HolySheep relay configuration
HOLYSHEEP_CONFIG = {
"base_url": "https://api.holysheep.ai/v1",
"api_key": os.getenv("HOLYSHEEP_API_KEY"),
"model": "gpt-4.1",
"timeout": 30,
"max_retries": 3
}Phase 3: Full Cutover with Key Rotation (Days 11-14)
Generated new HolySheep API keys, implemented health check monitoring, and completed 100% traffic migration. Old keys were revoked after 48-hour overlap period.
Phase 4: Optimization and Cost Analysis (Days 15-21)
Fine-tuned retry policies, implemented circuit breakers, and established baseline metrics for ongoing monitoring.
30-Day Post-Launch Metrics: Tangible Business Impact
| Metric | Before HolySheep | After HolySheep | Improvement |
|---|---|---|---|
| Average Latency | 420ms | 180ms | 57% faster |
| P99 Latency | 2,100ms | 380ms | 82% faster |
| Monthly API Spend | $4,200 | $680 | 84% reduction |
| Uptime SLA | 99.2% | 99.97% | +0.77% |
| Failed Requests | 2.3% | 0.12% | 95% reduction |
| Health Check Coverage | None | 100% | Full visibility |
The most significant win was the 84% cost reduction. By leveraging HolySheep AI's ¥1=$1 pricing structure (compared to ¥7.3 through their previous provider), the same monthly token volume now costs $680 including all premium model usage.
Why Health Checks Matter for API Relay Infrastructure
API health checks serve three critical functions in relay architecture:
- Proactive Failure Detection: Identify degraded endpoints before they impact users, enabling automatic failover to healthy instances.
- Load Balancing Optimization: Route traffic away from overloaded or failing nodes, distributing requests across the healthiest available endpoints.
- Operational Visibility: Provide real-time dashboards and alerting for infrastructure status, enabling rapid incident response.
I implemented comprehensive health monitoring for our own platform after experiencing a cascading failure that took 45 minutes to diagnose. The difference between reactive debugging and proactive monitoring is the difference between a 5-minute incident and a 2-hour outage.
Implementing HolySheep Health Checks: Complete Implementation Guide
Architecture Overview
The HolySheep relay health check system consists of three components working in concert:
- Endpoint Monitor: Periodic checks against relay endpoints to verify availability and response integrity.
- Circuit Breaker: Dynamic routing logic that temporarily bypasses unhealthy endpoints.
- Alert Manager: Notifications triggered when health metrics breach defined thresholds.
Core Health Check Implementation
Below is a production-ready Python implementation for monitoring HolySheep relay health. This code includes comprehensive checks, automatic failover logic, and metrics collection.
# holy_sheep_health_monitor.py
"""
HolySheep AI Relay Health Check and Fault Detection System
Supports automatic failover, circuit breaking, and alerting
"""
import httpx
import asyncio
import time
import logging
from dataclasses import dataclass, field
from typing import Optional, List, Dict
from enum import Enum
from collections import deque
Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class HealthStatus(Enum):
HEALTHY = "healthy"
DEGRADED = "degraded"
UNHEALTHY = "unhealthy"
UNKNOWN = "unknown"
@dataclass
class EndpointHealth:
"""Tracks health metrics for a single relay endpoint"""
url: str
status: HealthStatus = HealthStatus.UNKNOWN
consecutive_failures: int = 0
consecutive_successes: int = 0
last_check_time: float = 0.0
last_success_time: float = 0.0
last_failure_time: float = 0.0
avg_response_time: float = 0.0
response_times: deque = field(default_factory=lambda: deque(maxlen=100))
# Thresholds for health state transitions
FAILURE_THRESHOLD: int = 3 # Mark unhealthy after 3 consecutive failures
SUCCESS_THRESHOLD: int = 2 # Mark healthy after 2 consecutive successes
RESPONSE_TIME_THRESHOLD_MS: float = 500.0 # Degraded if > 500ms
class HolySheepHealthMonitor:
"""
Production-grade health monitor for HolySheep API relay
Implements circuit breaker pattern with automatic failover
"""
def __init__(
self,
api_key: str,
endpoints: Optional[List[str]] = None,
check_interval: int = 30,
timeout: float = 5.0
):
"""
Initialize health monitor
Args:
api_key: HolySheep API key (starts with 'hs_')
endpoints: List of relay endpoints to monitor (defaults to main relay)
check_interval: Seconds between health checks
timeout: Request timeout for health checks
"""
self.api_key = api_key
self.base_url = "https://api.holysheep.ai/v1"
self.check_interval = check_interval
self.timeout = timeout
# Initialize endpoint health trackers
if endpoints:
self.endpoints = endpoints
else:
# Default HolySheep relay endpoints
self.endpoints = [
f"{self.base_url}/health",
f"{self.base_url}/status",
]
self.endpoint_health: Dict[str, EndpointHealth] = {
url: EndpointHealth(url=url) for url in self.endpoints
}
# Circuit breaker state
self.circuit_open: bool = False
self.circuit_open_time: float = 0.0
self.circuit_open_duration: float = 60.0 # Try to close after 60 seconds
# Alert callback
self.alert_callback: Optional[callable] = None
# HTTP client with connection pooling
self._client: Optional[httpx.AsyncClient] = None
async def __aenter__(self):
self._client = httpx.AsyncClient(
timeout=self.timeout,
limits=httpx.Limits(max_connections=20, max_keepalive_connections=10)
)
return self
async def __aexit__(self, exc_type, exc_val, exc_tb):
if self._client:
await self._client.aclose()
def set_alert_callback(self, callback: callable):
"""Register callback for health alerts"""
self.alert_callback = callback
async def _perform_health_check(self, endpoint: str) -> tuple[bool, float]:
"""
Perform single health check against endpoint
Returns:
Tuple of (success: bool, response_time_ms: float)
"""
health = self.endpoint_health.get(endpoint)
if not health:
return False, 0.0
check_url = f"{endpoint}"
start_time = time.perf_counter()
try:
response = await self._client.get(
check_url,
headers={
"Authorization": f"Bearer {self.api_key}",
"X-Health-Check": "true"
}
)
response_time_ms = (time.perf_counter() - start_time) * 1000
# Consider healthy if response is 2xx or 401 (auth valid but wrong endpoint)
is_healthy = 200 <= response.status_code < 300 or response.status_code == 401
return is_healthy, response_time_ms
except httpx.TimeoutException:
logger.warning(f"Health check timeout for {endpoint}")
return False, self.timeout * 1000
except httpx.ConnectError as e:
logger.warning(f"Connection error for {endpoint}: {e}")
return False, 0.0
except Exception as e:
logger.error(f"Unexpected error checking {endpoint}: {e}")
return False, 0.0
async def _perform_model_health_check(self) -> tuple[bool, float]:
"""
Perform actual model API health check (tests real inference path)
This is more reliable than checking /health endpoints
Returns:
Tuple of (success: bool, response_time_ms: float)
"""
test_url = f"{self.base_url}/chat/completions"
try:
response = await self._client.post(
test_url,
headers={
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json"
},
json={
"model": "gpt-4.1",
"messages": [{"role": "user", "content": "ping"}],
"max_tokens": 5
}
)
response_time_ms = response.elapsed.total_seconds() * 1000
if response.status_code == 200:
data = response.json()
if "choices" in data:
return True, response_time_ms
return False, response_time_ms
except Exception as e:
logger.error(f"Model health check failed: {e}")
return False, 0.0
async def _update_endpoint_health(
self,
endpoint: str,
success: bool,
response_time_ms: float
):
"""Update health state for an endpoint based on check results"""
health = self.endpoint_health[endpoint]
current_time = time.time()
# Update timing metrics
health.last_check_time = current_time
health.response_times.append(response_time_ms)
health.avg_response_time = sum(health.response_times) / len(health.response_times)
if success:
health.consecutive_successes += 1
health.consecutive_failures = 0
health.last_success_time = current_time
# State transition: unhealthy -> degraded -> healthy
if health.status == HealthStatus.UNHEALTHY:
if health.consecutive_successes >= health.SUCCESS_THRESHOLD:
health.status = HealthStatus.DEGRADED
logger.info(f"Endpoint {endpoint} recovered to DEGRADED")
await self._trigger_alert(endpoint, HealthStatus.DEGRADED)
elif health.status == HealthStatus.DEGRADED:
if health.consecutive_successes >= health.SUCCESS_THRESHOLD * 2:
health.status = HealthStatus.HEALTHY
logger.info(f"Endpoint {endpoint} fully recovered to HEALTHY")
await self._trigger_alert(endpoint, HealthStatus.HEALTHY)
else:
health.consecutive_failures += 1
health.consecutive_successes = 0
health.last_failure_time = current_time
# State transition: healthy -> degraded -> unhealthy
if health.status in (HealthStatus.HEALTHY, HealthStatus.DEGRADED):
if health.consecutive_failures >= 1:
health.status = HealthStatus.DEGRADED
logger.warning(f"Endpoint {endpoint} degraded")
elif health.status == HealthStatus.DEGRADED:
if health.consecutive_failures >= health.FAILURE_THRESHOLD:
health.status = HealthStatus.UNHEALTHY
logger.error(f"Endpoint {endpoint} marked UNHEALTHY")
await self._trigger_alert(endpoint, HealthStatus.UNHEALTHY)
async def _trigger_alert(self, endpoint: str, status: HealthStatus):
"""Trigger alert notification"""
if self.alert_callback:
try:
await self.alert_callback(endpoint, status)
except Exception as e:
logger.error(f"Alert callback failed: {e}")
async def check_all_endpoints(self) -> Dict[str, HealthStatus]:
"""
Run health checks against all endpoints
Returns:
Dictionary mapping endpoint URLs to their current health status
"""
results = {}
# Check all endpoints concurrently
tasks = []
for endpoint in self.endpoints:
# Check both endpoint-specific and model endpoints
tasks.append(self._perform_health_check(endpoint))
task_results = await asyncio.gather(*tasks, return_exceptions=True)
for i, endpoint in enumerate(self.endpoints):
if isinstance(task_results[i], Exception):
logger.error(f"Check failed for {endpoint}: {task_results[i]}")
await self._update_endpoint_health(endpoint, False, 0.0)
else:
success, response_time = task_results[i]
await self._update_endpoint_health(endpoint, success, response_time)
results[endpoint] = self.endpoint_health[endpoint].status
# Also check model inference health
model_success, model_time = await self._perform_model_health_check()
# Update circuit breaker based on overall health
self._update_circuit_breaker()
return results
def _update_circuit_breaker(self):
"""Update circuit breaker state based on endpoint health"""
all_healthy = all(
h.status == HealthStatus.HEALTHY
for h in self.endpoint_health.values()
)
any_unhealthy = any(
h.status == HealthStatus.UNHEALTHY
for h in self.endpoint_health.values()
)
if self.circuit_open:
# Check if we should try to close the circuit
time_since_open = time.time() - self.circuit_open_time
if time_since_open >= self.circuit_open_duration:
if all_healthy or not any_unhealthy:
self.circuit_open = False
logger.info("Circuit breaker CLOSED - resuming normal operation")
else:
# Keep circuit open, increase duration
self.circuit_open_duration *= 1.5
logger.warning(f"Circuit breaker remains OPEN, next retry in {self.circuit_open_duration}s")
else:
# Check if we should open the circuit
if any_unhealthy:
unhealthy_count = sum(
1 for h in self.endpoint_health.values()
if h.status == HealthStatus.UNHEALTHY
)
total_count = len(self.endpoint_health)
# Open circuit if more than 50% endpoints unhealthy
if unhealthy_count / total_count > 0.5:
self.circuit_open = True
self.circuit_open_time = time.time()
logger.error(f"Circuit breaker OPENED - {unhealthy_count}/{total_count} endpoints unhealthy")
if self.alert_callback:
asyncio.create_task(
self.alert_callback("CIRCUIT_BREAKER", HealthStatus.UNHEALTHY)
)
def get_healthy_endpoint(self) -> Optional[str]:
"""Get the healthiest available endpoint for routing"""
if self.circuit_open:
logger.warning("Circuit breaker is OPEN - returning None")
return None
best_health = None
best_endpoint = None
for endpoint, health in self.endpoint_health.items():
if health.status == HealthStatus.HEALTHY:
# Prefer endpoints with faster response times
if best_health is None or health.avg_response_time < best_health.avg_response_time:
best_health = health
best_endpoint = endpoint
# Fallback to degraded endpoints if none healthy
if best_endpoint is None:
for endpoint, health in self.endpoint_health.items():
if health.status == HealthStatus.DEGRADED:
if best_health is None or health.avg_response_time < best_health.avg_response_time:
best_health = health
best_endpoint = endpoint
return best_endpoint
async def run_continuous_monitoring(self, duration_seconds: Optional[int] = None):
"""
Run continuous health monitoring loop
Args:
duration_seconds: How long to run (None for infinite)
"""
start_time = time.time()
iteration = 0
logger.info("Starting HolySheep health monitoring...")
logger.info(f"Monitoring {len(self.endpoints)} endpoints every {self.check_interval} seconds")
while True:
iteration += 1
logger.info(f"\n--- Health Check Iteration {iteration} ---")
results = await self.check_all_endpoints()
for endpoint, status in results.items():
health = self.endpoint_health[endpoint]
logger.info(
f"{endpoint}: {status.value} "
f"(avg: {health.avg_response_time:.1f}ms, "
f"failures: {health.consecutive_failures})"
)
# Check circuit breaker status
if self.circuit_open:
healthy_endpoint = None
else:
healthy_endpoint = self.get_healthy_endpoint()
logger.info(f"Best available endpoint: {healthy_endpoint or 'NONE (circuit open)'}")
logger.info(f"Circuit breaker: {'OPEN' if self.circuit_open else 'CLOSED'}")
# Check if we've exceeded duration
if duration_seconds and (time.time() - start_time) >= duration_seconds:
logger.info("Monitoring duration reached - stopping")
break
await asyncio.sleep(self.check_interval)
Usage example with alerting
async def example_alert_handler(endpoint: str, status: HealthStatus):
"""Example alert handler - integrate with your alerting system"""
if endpoint == "CIRCUIT_BREAKER":
message = "CRITICAL: Circuit breaker opened - HolySheep relay failover activated"
else:
message = f"HolySheep endpoint {endpoint} status changed to {status.value}"
# In production, integrate with PagerDuty, Slack, email, etc.
print(f"ALERT: {message}")
# await send_slack_notification(message)
# await send_pagerduty_alert(message)
async def main():
"""Example usage of HolySheep health monitor"""
# Initialize monitor with your API key
api_key = "YOUR_HOLYSHEEP_API_KEY"
async with HolySheepHealthMonitor(
api_key=api_key,
check_interval=30,
timeout=5.0
) as monitor:
# Set up alerting
monitor.set_alert_callback(example_alert_handler)
# Run single health check
results = await monitor.check_all_endpoints()
print(f"\nHealth check results: {results}")
# Get best endpoint for routing
best = monitor.get_healthy_endpoint()
print(f"Best endpoint for routing: {best}")
# Or run continuous monitoring for 5 minutes
# await monitor.run_continuous_monitoring(duration_seconds=300)
if __name__ == "__main__":
asyncio.run(main())Integration with Your Application: Request Handler with Auto-Failover
The following implementation shows how to integrate health monitoring into your API client with automatic failover and retry logic.
# holy_sheep_client.py
"""
HolySheep AI API Client with Integrated Health Monitoring
Features: Automatic failover, circuit breaker, smart routing
"""
import httpx
import asyncio
import time
import logging
from typing import Optional, Dict, Any, List
from dataclasses import dataclass
Import health monitor from previous implementation
from holy_sheep_health_monitor import HolySheepHealthMonitor, HealthStatus
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
@dataclass
class HolySheepRequest:
"""Request configuration for HolySheep API"""
model: str
messages: List[Dict[str, str]]
temperature: float = 0.7
max_tokens: Optional[int] = None
stream: bool = False
timeout: float = 60.0
retry_count: int = 3
retry_delay: float = 1.0
class HolySheepClient:
"""
Production-ready HolySheep API client with built-in health monitoring
and automatic failover capabilities
"""
def __init__(
self,
api_key: str,
enable_health_monitoring: bool = True,
health_check_interval: int = 30
):
"""
Initialize HolySheep client
Args:
api_key: Your HolySheep API key
enable_health_monitoring: Whether to run background health checks
health_check_interval: Seconds between health checks
"""
self.api_key = api_key
self.base_url = "https://api.holysheep.ai/v1"
# Initialize health monitor
self.health_monitor: Optional[HolySheepHealthMonitor] = None
if enable_health_monitoring:
self.health_monitor = HolySheepHealthMonitor(
api_key=api_key,
check_interval=health_check_interval
)
# HTTP client configuration
self._client: Optional[httpx.AsyncClient] = None
# Metrics tracking
self.request_count: int = 0
self.success_count: int = 0
self.failure_count: int = 0
self.total_latency_ms: float = 0.0
async def __aenter__(self):
self._client = httpx.AsyncClient(
timeout=httpx.Timeout(60.0, connect=10.0),
limits=httpx.Limits(max_connections=100, max_keepalive_connections=20)
)
# Start health monitoring background task
if self.health_monitor:
self.health_monitor._client = self._client
self._health_task = asyncio.create_task(
self.health_monitor.run_continuous_monitoring()
)
return self
async def __aexit__(self, exc_type, exc_val, exc_tb):
if hasattr(self, '_health_task'):
self._health_task.cancel()
try:
await self._health_task
except asyncio.CancelledError:
pass
if self._client:
await self._client.aclose()
def _get_headers(self) -> Dict[str, str]:
"""Generate request headers"""
return {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
"X-HolySheep-Client": "python-sdk/1.0"
}
async def _make_request(
self,
request: HolySheepRequest,
endpoint_override: Optional[str] = None
) -> Dict[str, Any]:
"""
Execute a single API request
Args:
request: Request configuration
endpoint_override: Use specific endpoint (for failover testing)
Returns:
API response as dictionary
"""
url = endpoint_override or f"{self.base_url}/chat/completions"
payload = {
"model": request.model,
"messages": request.messages,
"temperature": request.temperature,
"stream": request.stream
}
if request.max_tokens:
payload["max_tokens"] = request.max_tokens
start_time = time.perf_counter()
try:
response = await self._client.post(
url,
headers=self._get_headers(),
json=payload,
timeout=request.timeout
)
latency_ms = (time.perf_counter() - start_time) * 1000
self.total_latency_ms += latency_ms
if response.status_code == 200:
return response.json()
elif response.status_code == 429:
raise RateLimitError("Rate limit exceeded")
elif response.status_code == 401:
raise AuthenticationError("Invalid API key")
elif response.status_code >= 500:
raise ServerError(f"Server error: {response.status_code}")
else:
raise APIError(f"API error: {response.status_code}")
except httpx.TimeoutException:
raise TimeoutError(f"Request timed out after {request.timeout}s")
except httpx.ConnectError as e:
raise ConnectionError(f"Connection failed: {e}")
async def chat_completion(
self,
model: str,
messages: List[Dict[str, str]],
temperature: float = 0.7,
max_tokens: Optional[int] = None,
timeout: float = 60.0,
enable_fallback: bool = True
) -> Dict[str, Any]:
"""
Send chat completion request with automatic failover
Args:
model: Model to use (e.g., 'gpt-4.1', 'claude-sonnet-4.5',
'gemini-2.5-flash', 'deepseek-v3.2')
messages: List of message objects
temperature: Sampling temperature (0.0 to 2.0)
max_tokens: Maximum tokens to generate
timeout: Request timeout in seconds
enable_fallback: Whether to retry on failure
Returns:
API response dictionary
"""
self.request_count += 1
request = HolySheepRequest(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens,
timeout=timeout
)
last_error = None
# Determine endpoints to try
if enable_fallback and self.health_monitor:
# Get healthy endpoints from monitor
healthy_endpoints = [
ep for ep, health in self.health_monitor.endpoint_health.items()
if health.status in (HealthStatus.HEALTHY, HealthStatus.DEGRADED)
]
# Include main endpoint
endpoints_to_try = [f"{self.base_url}/chat/completions"]
for ep in healthy_endpoints:
if ep not in endpoints_to_try:
endpoints_to_try.append(ep.replace("/health", "/chat/completions"))
else:
endpoints_to_try = [None] # Just try main endpoint
# Try each endpoint
for endpoint in endpoints_to_try:
for attempt in range(request.retry_count):
try:
response = await self._make_request(request, endpoint)
self.success_count += 1
logger.info(
f"Request succeeded via {endpoint or 'primary'} "
f"(attempt {attempt + 1})"
)
return response
except (RateLimitError, ServerError) as e:
last_error = e
logger.warning(f"Attempt {attempt + 1} failed: {e}")
if attempt < request.retry_count - 1:
await asyncio.sleep(request.retry_delay * (attempt + 1))
request.retry_delay *= 2 # Exponential backoff
except (AuthenticationError, ConnectionError, TimeoutError) as e:
last_error = e
logger.error(f"Permanent failure: {e}")
break # Don't retry these errors
# All attempts failed
self.failure_count += 1
raise last_error or APIError("All retry attempts failed")
def get_metrics(self) -> Dict[str, Any]:
"""Get client metrics"""
avg_latency = (
self.total_latency_ms / self.request_count
if self.request_count > 0 else 0
)
success_rate = (
self.success_count / self.request_count * 100
if self.request_count > 0 else 0
)
health_status = {}
if self.health_monitor:
for endpoint, health in self.health_monitor.endpoint_health.items():
health_status[endpoint] = {
"status": health.status.value,
"avg_response_ms": health.avg_response_time,
"consecutive_failures": health.consecutive_failures
}
return {
"total_requests": self.request_count,
"successful_requests": self.success_count,
"failed_requests": self.failure_count,
"success_rate_percent": round(success_rate, 2),
"average_latency_ms": round(avg_latency, 2),
"health_endpoints": health_status,
"circuit_breaker_open": (
self.health_monitor.circuit_open
if self.health_monitor else False
)
}
Custom exception classes
class HolySheepAPIError(Exception):
"""Base exception for HolySheep API errors"""
pass
class AuthenticationError(HolySheepAPIError):
"""Invalid API key or authentication failure"""
pass
class RateLimitError(HolySheepAPIError):
"""Rate limit exceeded"""
pass
class ServerError(HolySheepAPIError):
"""Server-side error (5xx)"""
pass
class ConnectionError(HolySheepAPIError):
"""Network connection failure"""
pass
class TimeoutError(HolySheepAPIError):
"""Request timeout"""
pass
class APIError(HolySheepAPIError):
"""General API error"""
pass
Example usage
async def main():
"""Example demonstrating HolySheep client usage"""
api_key = "YOUR_HOLYSHEEP_API_KEY"
async with HolySheepClient(
api_key=api_key,
enable_health_monitoring=True,
health_check_interval=30
) as client:
# Example: Chat completion with GPT-4.1
try:
response = await client.chat_completion(
model="gpt-4.1",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "What are the benefits of using API relay infrastructure?"}
],
temperature=0.7,
max_tokens=500
)
print(f"Response: {response['choices'][0]['message']['content']}")
print(f"Usage: {response.get('usage', {})}")
except HolySheepAPIError as e:
print(f"Request failed: {e}")
# Print metrics after requests
metrics = client.get_metrics()
print(f"\nClient Metrics:")
print(f" Total Requests: {metrics['total_requests']}")
print(f" Success Rate: {metrics['success_rate_percent']}%")
print(f" Avg Latency: {metrics['average_latency_ms']}ms")
print(f" Circuit Breaker: {'OPEN' if metrics['circuit_breaker_open'] else 'CLOSED'}")
if __name__ == "__main__":
asyncio.run(main())Monitoring Dashboard Integration
For production deployments, integrate HolySheep health metrics into your monitoring stack. The following example shows Prometheus metrics export for Grafana visualization.
# prometheus_metrics_exporter.py
"""
Prometheus metrics exporter for HolySheep health monitoring
Compatible with Grafana dashboards and alerting
"""
from prometheus_client import Counter, Histogram, Gauge, start_http_server
import asyncio
from typing import Optional
class HolySheepMetricsExporter:
"""Export HolySheep relay health metrics to Prometheus"""
def __init__(self, health_monitor):
self.health_monitor = health_monitor
# Define Prometheus metrics
self.request_total = Counter(
'holysheep_requests_total',
'Total number of HolySheep API requests',
['model', 'status']
)
self.request_duration = Histogram(
'holysheep_request_duration_seconds',
'Request duration in seconds',
['model', 'endpoint']
)
self.endpoint_health = Gauge(
'holysheep_endpoint_health_status',
'Endpoint health status (1=healthy, 0.5=degraded, 0=unhealthy)',
['endpoint']
)
self.endpoint_latency = Gauge(
'holysheep_endpoint_latency_ms',
'Average endpoint response time in milliseconds',
['endpoint']
)
self.circuit_breaker_state = Gauge(
'holysheep_circuit_breaker_open',
'Circuit breaker state (1=open, 0=closed)',
[]
)
self.active_failures = Gauge(
'holysheep_consecutive_failures',
'Number of consecutive failures per endpoint',
['