AIアプリケーションを本番環境に展開する際、最大の問題の一つが「单一模型の可用性に依存するリスク」です。APIリクエストが急増した際、特定のモデルが一時的に利用不可になった場合、アプリケーション全体が停止してしまうケース非常多。本文では、HolySheep AIを活用した多模型自动故障切换方案の設計と実装について詳しく解説します。
HolySheep vs 公式API vs 他のリレーサービスの比較
| 比較項目 | HolySheep AI | 公式API（OpenAI/Anthropic） | 一般的なリレーサービス |
|---|---|---|---|
| コスト効率 | ¥1 = $1（85%節約） | ¥7.3 = $1（通常料金） | ¥2-5 = $1（ средненький） |
| 対応支払い | WeChat Pay / Alipay / クレジットカード | クレジットカードのみ | クレジットカードまたは暗号資産 |
| レイテンシ | <50ms（低遅延） | 50-200ms（地域依存） | 100-300ms（不安定） |
| 多模型支持 | GPT-4.1 / Claude Sonnet / Gemini / DeepSeek | 单一厂商 | 数种モデル |
| 免费クレジット | 登録時免费提供 | $5-18（新规初回） | 极少或无 |
| 熔断降级机制 | 組み込み対応 | 自力実装必要 | 基本なし |
| 故障切换 | 自动备用模型切换 | 自力実装必要 | 手動切换 |
向いている人・向いていない人
向いている人
- コストを85%削減したいスタートアップや個人開発者
- WeChat Pay/Alipayで удобно に決済したい中国語圈开发者
- 多模型の冗長性确保が必要な 本番環境アプリケーション
- <50msの低レイテンシが要求されるリアルタイム应用
- 複数AI厂商のAPIを统一的に管理したい企业
向いていない人
- 完全なオフライン环境を求める場合（常にインターネット接続が必要）
- 超大手企业で専用インフラを求める場合（エンタープライズ契約が必要）
- 特定のモデル厂商との直接契约を好む場合
価格とROI分析
HolySheep AIの2026年出力价格为以下通りです：
| モデル | 出力価格（$ / MTok） | 公式API比节约率 |
|---|---|---|
| GPT-4.1 | $8.00 | 約85% |
| Claude Sonnet 4.5 | $15.00 | 約80% |
| Gemini 2.5 Flash | $2.50 | 約70% |
| DeepSeek V3 | $0.42 | 約95% |
月に100万トークンを処理するアプリケーションの場合、公式APIでは約$7,300相当（约¥53,000）のコストがかかるところ、HolySheepでは¥1=$1のレートで¥7,300（约$7,300）で利用可能です。年間では约¥546,000の節約になります。
HolySheepを選ぶ理由
私は过去的に複数のAI APIリレーサービスを利用してきましたが、HolySheep AIが特に優れている点は以下の3つです：
- 驚異的なコスト効率：¥1=$1のレートは業界最高水準で、特に高频度API调用を行う应用では大きなコスト削減になります。
- 灵活的支付手段：WeChat PayとAlipayに対応している点は、中国市场向けの应用を開発する際に非常に便利です。
- 低レイテンシ架构：<50msの响应时间是、リアルタイム对话应用や聊天ボットにおいて用户体验を 크게向上させます。
システム架构设计
多模型自动故障切换システムの基本架构は以下の通りです：
┌─────────────────────────────────────────────────────────────┐
│ Client Application │
└─────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ API Gateway Layer │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Rate Limit │ │ Circuit │ │ Fallback │ │
│ │ Limiter │ │ Breaker │ │ Manager │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
└─────────────────────────────────────────────────────────────┘
│
┌─────────────────────┼─────────────────────┐
▼ ▼ ▼
┌───────────────┐ ┌───────────────┐ ┌───────────────┐
│ HolySheep AI │ │ HolySheep AI │ │ HolySheep AI │
│ Primary Model │ │ Secondary │ │ Tertiary │
│ (GPT-4.1) │ │ (Claude Sonnet│ │ (Gemini Flash │
│ │ │ 4.5) │ │ / DeepSeek) │
└───────────────┘ └───────────────┘ └───────────────┘
│
▼
┌───────────────────┐
│ Health Monitor │
│ & Metrics │
└───────────────────┘実装コード：熔断降级机制的Python実装
以下は、HolySheep AIを活用した多模型故障切换の完全な実装例です：
import httpx
import asyncio
import time
from enum import Enum
from typing import Optional, Dict, Any
from dataclasses import dataclass
from collections import defaultdict
HolySheep API Configuration
HOLYSHEEP_BASE_URL = "https://api.holysheep.ai/v1"
HOLYSHEEP_API_KEY = "YOUR_HOLYSHEEP_API_KEY"
class CircuitState(Enum):
CLOSED = "closed" # Normal operation
OPEN = "open" # Failing, reject requests
HALF_OPEN = "half_open" # Testing recovery
@dataclass
class CircuitBreakerConfig:
failure_threshold: int = 5 # Failures before opening
recovery_timeout: int = 30 # Seconds before half-open
half_open_max_calls: int = 3 # Test calls in half-open
success_threshold: int = 2 # Successes to close circuit
class CircuitBreaker:
def __init__(self, name: str, config: CircuitBreakerConfig = None):
self.name = name
self.config = config or CircuitBreakerConfig()
self.state = CircuitState.CLOSED
self.failure_count = 0
self.success_count = 0
self.last_failure_time: Optional[float] = None
self.half_open_calls = 0
def record_success(self):
self.failure_count = 0
if self.state == CircuitState.HALF_OPEN:
self.success_count += 1
if self.success_count >= self.config.success_threshold:
self.state = CircuitState.CLOSED
self.success_count = 0
self.half_open_calls = 0
print(f"[CircuitBreaker] {self.name} CLOSED - Recovered")
def record_failure(self):
self.failure_count += 1
self.last_failure_time = time.time()
if self.state == CircuitState.HALF_OPEN:
self.state = CircuitState.OPEN
self.half_open_calls = 0
print(f"[CircuitBreaker] {self.name} OPEN - Half-open test failed")
elif self.failure_count >= self.config.failure_threshold:
self.state = CircuitState.OPEN
print(f"[CircuitBreaker] {self.name} OPEN - Failure threshold reached")
def can_attempt(self) -> bool:
if self.state == CircuitState.CLOSED:
return True
if self.state == CircuitState.OPEN:
if self.last_failure_time:
elapsed = time.time() - self.last_failure_time
if elapsed >= self.config.recovery_timeout:
self.state = CircuitState.HALF_OPEN
self.half_open_calls = 0
self.success_count = 0
print(f"[CircuitBreaker] {self.name} HALF_OPEN - Recovery timeout")
return True
return False
if self.state == CircuitState.HALF_OPEN:
return self.half_open_calls < self.config.half_open_max_calls
return False
def on_attempt(self):
if self.state == CircuitState.HALF_OPEN:
self.half_open_calls += 1
class AIModelClient:
def __init__(self, model: str, circuit_breaker: CircuitBreaker):
self.model = model
self.circuit_breaker = circuit_breaker
self.base_url = HOLYSHEEP_BASE_URL
self.api_key = HOLYSHEEP_API_KEY
async def chat_completion(
self,
messages: list[dict],
temperature: float = 0.7,
max_tokens: int = 1000
) -> Optional[Dict[str, Any]]:
if not self.circuit_breaker.can_attempt():
print(f"[{self.model}] Circuit OPEN - Skipping request")
return None
self.circuit_breaker.on_attempt()
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json"
}
payload = {
"model": self.model,
"messages": messages,
"temperature": temperature,
"max_tokens": max_tokens
}
try:
async with httpx.AsyncClient(timeout=30.0) as client:
response = await client.post(
f"{self.base_url}/chat/completions",
headers=headers,
json=payload
)
if response.status_code == 200:
self.circuit_breaker.record_success()
return response.json()
elif response.status_code == 429:
# Rate limit - treat as failure
self.circuit_breaker.record_failure()
print(f"[{self.model}] Rate limited")
return None
elif response.status_code >= 500:
# Server error - treat as failure
self.circuit_breaker.record_failure()
print(f"[{self.model}] Server error: {response.status_code}")
return None
else:
# Client error - don't count against circuit
response.raise_for_status()
except httpx.TimeoutException:
self.circuit_breaker.record_failure()
print(f"[{self.model}] Timeout")
return None
except httpx.HTTPStatusError as e:
if e.response.status_code >= 500:
self.circuit_breaker.record_failure()
print(f"[{self.model}] HTTP error: {e}")
return None
except Exception as e:
self.circuit_breaker.record_failure()
print(f"[{self.model}] Unexpected error: {e}")
return None
return None
class MultiModelGateway:
"""多模型自动故障切换网关"""
def __init__(self):
# 定义模型优先级列表
self.models = [
{"id": "gpt-4.1", "name": "GPT-4.1", "priority": 1},
{"id": "claude-sonnet-4-5", "name": "Claude Sonnet 4.5", "priority": 2},
{"id": "gemini-2.5-flash", "name": "Gemini 2.5 Flash", "priority": 3},
{"id": "deepseek-v3", "name": "DeepSeek V3", "priority": 4},
]
# 初始化熔断器
self.breakers: Dict[str, CircuitBreaker] = {}
self.clients: Dict[str, AIModelClient] = {}
for model_info in self.models:
model_id = model_info["id"]
breaker = CircuitBreaker(
name=model_info["name"],
config=CircuitBreakerConfig(
failure_threshold=5,
recovery_timeout=30,
half_open_max_calls=3,
success_threshold=2
)
)
self.breakers[model_id] = breaker
self.clients[model_id] = AIModelClient(model_id, breaker)
async def chat_completion(
self,
messages: list[dict],
temperature: float = 0.7,
max_tokens: int = 1000,
fallback_chain: list[str] = None
) -> Dict[str, Any]:
"""按优先级自动切换的聊天完成接口"""
if fallback_chain is None:
fallback_chain = [m["id"] for m in self.models]
last_error = None
for model_id in fallback_chain:
if model_id not in self.clients:
continue
client = self.clients[model_id]
print(f"[Gateway] Trying model: {model_id}")
result = await client.chat_completion(
messages=messages,
temperature=temperature,
max_tokens=max_tokens
)
if result is not None:
print(f"[Gateway] Success with {model_id}")
return {
"success": True,
"model": model_id,
"data": result,
"fallback_used": model_id != fallback_chain[0]
}
last_error = f"Model {model_id} failed"
print(f"[Gateway] Failed with {model_id}, trying next...")
return {
"success": False,
"error": last_error,
"all_models_failed": True
}
使用示例
async def main():
gateway = MultiModelGateway()
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello, explain circuit breakers in simple terms."}
]
result = await gateway.chat_completion(messages)
if result["success"]:
print(f"Response from {result['model']}")
print(f"Used fallback: {result['fallback_used']}")
print(result["data"])
else:
print(f"All models failed: {result['error']}")
if __name__ == "__main__":
asyncio.run(main())実装コード：Node.js版熔断降级机制
// HolySheep AI Multi-Model Failover Gateway (Node.js)
// npm install axios
const axios = require('axios');
// HolySheep API Configuration
const HOLYSHEEP_BASE_URL = 'https://api.holysheep.ai/v1';
const HOLYSHEEP_API_KEY = 'YOUR_HOLYSHEEP_API_KEY';
// Circuit Breaker States
const CircuitState = {
CLOSED: 'closed',
OPEN: 'open',
HALF_OPEN: 'half_open'
};
// Circuit Breaker Implementation
class CircuitBreaker {
constructor(name, options = {}) {
this.name = name;
this.state = CircuitState.CLOSED;
this.failureCount = 0;
this.successCount = 0;
this.lastFailureTime = null;
this.halfOpenCalls = 0;
// Configuration
this.failureThreshold = options.failureThreshold || 5;
this.recoveryTimeout = options.recoveryTimeout || 30000; // 30 seconds
this.halfOpenMaxCalls = options.halfOpenMaxCalls || 3;
this.successThreshold = options.successThreshold || 2;
}
recordSuccess() {
this.failureCount = 0;
if (this.state === CircuitState.HALF_OPEN) {
this.successCount++;
if (this.successCount >= this.successThreshold) {
this.state = CircuitState.CLOSED;
this.successCount = 0;
this.halfOpenCalls = 0;
console.log([CircuitBreaker] ${this.name} CLOSED - Recovered);
}
}
}
recordFailure() {
this.failureCount++;
this.lastFailureTime = Date.now();
if (this.state === CircuitState.HALF_OPEN) {
this.state = CircuitState.OPEN;
this.halfOpenCalls = 0;
console.log([CircuitBreaker] ${this.name} OPEN - Half-open test failed);
} else if (this.failureCount >= this.failureThreshold) {
this.state = CircuitState.OPEN;
console.log([CircuitBreaker] ${this.name} OPEN - Failure threshold reached);
}
}
canAttempt() {
if (this.state === CircuitState.CLOSED) {
return true;
}
if (this.state === CircuitState.OPEN) {
if (this.lastFailureTime) {
const elapsed = Date.now() - this.lastFailureTime;
if (elapsed >= this.recoveryTimeout) {
this.state = CircuitState.HALF_OPEN;
this.halfOpenCalls = 0;
this.successCount = 0;
console.log([CircuitBreaker] ${this.name} HALF_OPEN - Recovery timeout);
return true;
}
}
return false;
}
if (this.state === CircuitState.HALF_OPEN) {
return this.halfOpenCalls < this.halfOpenMaxCalls;
}
return false;
}
onAttempt() {
if (this.state === CircuitState.HALF_OPEN) {
this.halfOpenCalls++;
}
}
getStatus() {
return {
name: this.name,
state: this.state,
failureCount: this.failureCount,
lastFailureTime: this.lastFailureTime
};
}
}
// AI Model Client
class AIModelClient {
constructor(model, circuitBreaker) {
this.model = model;
this.circuitBreaker = circuitBreaker;
}
async chatCompletion(messages, options = {}) {
if (!this.circuitBreaker.canAttempt()) {
console.log([${this.model}] Circuit OPEN - Skipping request);
return null;
}
this.circuitBreaker.onAttempt();
try {
const response = await axios.post(
${HOLYSHEEP_BASE_URL}/chat/completions,
{
model: this.model,
messages: messages,
temperature: options.temperature || 0.7,
max_tokens: options.maxTokens || 1000
},
{
headers: {
'Authorization': Bearer ${HOLYSHEEP_API_KEY},
'Content-Type': 'application/json'
},
timeout: 30000
}
);
this.circuitBreaker.recordSuccess();
return response.data;
} catch (error) {
if (error.response) {
const status = error.response.status;
// Rate limit (429) or Server error (5xx) - count as failure
if (status === 429 || status >= 500) {
this.circuitBreaker.recordFailure();
console.log([${this.model}] Error ${status}: Circuit breaker updated);
}
} else if (error.code === 'ECONNABORTED' || error.code === 'ETIMEDOUT') {
this.circuitBreaker.recordFailure();
console.log([${this.model}] Timeout: Circuit breaker updated);
} else {
this.circuitBreaker.recordFailure();
console.log([${this.model}] Unexpected error: ${error.message});
}
return null;
}
}
}
// Multi-Model Gateway
class MultiModelGateway {
constructor() {
// Model priority list
this.models = [
{ id: 'gpt-4.1', name: 'GPT-4.1', priority: 1 },
{ id: 'claude-sonnet-4-5', name: 'Claude Sonnet 4.5', priority: 2 },
{ id: 'gemini-2.5-flash', name: 'Gemini 2.5 Flash', priority: 3 },
{ id: 'deepseek-v3', name: 'DeepSeek V3', priority: 4 }
];
this.breakers = {};
this.clients = {};
// Initialize circuit breakers and clients
this.models.forEach(modelInfo => {
const breaker = new CircuitBreaker(modelInfo.name, {
failureThreshold: 5,
recoveryTimeout: 30000,
halfOpenMaxCalls: 3,
successThreshold: 2
});
this.breakers[modelInfo.id] = breaker;
this.clients[modelInfo.id] = new AIModelClient(modelInfo.id, breaker);
});
}
async chatCompletion(messages, options = {}) {
const fallbackChain = options.fallbackChain ||
this.models.map(m => m.id);
let lastError = null;
for (const modelId of fallbackChain) {
if (!this.clients[modelId]) continue;
const client = this.clients[modelId];
console.log([Gateway] Trying model: ${modelId});
const result = await client.chatCompletion(messages, options);
if (result) {
console.log([Gateway] Success with ${modelId});
return {
success: true,
model: modelId,
data: result,
fallbackUsed: modelId !== fallbackChain[0]
};
}
lastError = Model ${modelId} failed;
console.log([Gateway] Failed with ${modelId}, trying next...);
}
return {
success: false,
error: lastError,
allModelsFailed: true
};
}
getHealthStatus() {
return {
models: Object.entries(this.breakers).map(([id, breaker]) => ({
model: id,
...breaker.getStatus()
})),
timestamp: new Date().toISOString()
};
}
}
// Example Usage
async function main() {
const gateway = new MultiModelGateway();
const messages = [
{ role: 'system', content: 'You are a helpful assistant.' },
{ role: 'user', content: 'Hello, explain circuit breakers in simple terms.' }
];
try {
const result = await gateway.chatCompletion(messages);
if (result.success) {
console.log(\n✅ Response from ${result.model});
console.log( Used fallback: ${result.fallbackUsed});
console.log(' First response choice:',
result.data.choices?.[0]?.message?.content?.substring(0, 100) + '...');
} else {
console.log(\n❌ All models failed: ${result.error});
}
// Check health status
console.log('\n📊 Gateway Health Status:');
console.log(JSON.stringify(gateway.getHealthStatus(), null, 2));
} catch (error) {
console.error('Unexpected error:', error);
}
}
main();実践的な应用シーン
1. チャットボット应用
ユーザーからの問い合わに対して、応答性が重要です。GPT-4.1を主用途に、Claude Sonnet 4.5を予備として設定。低コストのDeepSeek V3を最終防衛线に配置。
2. バッチ処理システム
# HolySheep AI用于批量文档处理
import asyncio
async def batch_process_documents(gateway, documents):
results = []
for i, doc in enumerate(documents):
messages = [
{"role": "system", "content": "Summarize the following document in 3 bullet points."},
{"role": "user", "content": doc}
]
result = await gateway.chat_completion(
messages,
temperature=0.3,
max_tokens=200,
fallback_chain=["deepseek-v3", "gemini-2.5-flash"] # Cost-effective models
)
if result["success"]:
summary = result["data"]["choices"][0]["message"]["content"]
results.append({"doc_id": i, "summary": summary})
else:
results.append({"doc_id": i, "error": "Failed"})
return results
使用示例 - 每月处理10万文档的成本估算
DeepSeek V3: $0.42/MTok
假设每文档平均1,000 tokens
月额: 100,000 docs × 1,000 tokens × $0.42 / 1,000,000 = $42
HolySheepなら仅¥42で実現！
3. リアルタイム分析
低レイテンシが要求されるリアルタイム分析では、<50msのHolySheep架构を活かした実装が効果的です。
よくあるエラーと対処法
エラー1：Circuit BreakerがOPEN状态持续
エラー内容：「Circuit OPEN - Skipping request」メッセージが无限に続く
原因：短時間に連続した失敗が発生し、熔断器が启动了恢复等待时间
解決コード：
# 强制重置Circuit Breaker（開発/テスト用途のみ）
async def force_reset_circuit_breaker(gateway, model_id):
"""强制重置特定模型的熔断器"""
if model_id in gateway.breakers:
breaker = gateway.breakers[model_id]
breaker.state = CircuitState.CLOSED
breaker.failure_count = 0
breaker.success_count = 0
breaker.half_open_calls = 0
breaker.last_failure_time = None
print(f"[Gateway] Circuit breaker for {model_id} forcefully reset")
# 立即测试
test_result = await gateway.clients[model_id].chat_completion([
{"role": "user", "content": "Hi"}
])
if test_result:
print(f"[Gateway] {model_id} is responding normally")
else:
print(f"[Gateway] {model_id} still failing, check API key or service status")
监控和自动恢复脚本
async def monitor_and_auto_recover(gateway):
"""定期监控熔断器状态并尝试恢复"""
while True:
await asyncio.sleep(60) # 每分钟检查一次
for model_id, breaker in gateway.breakers.items():
status = breaker.getStatus()
print(f"[Monitor] {status['name']}: {status['state']}")
# 如果是OPEN状态超过2分钟，尝试手动触发恢复
if (status['state'] == 'open' and
status['lastFailureTime'] and
Date.now() - status['lastFailureTime'] > 120000):
# 强制进入HALF_OPEN状态
breaker.state = CircuitState.HALF_OPEN
breaker.half_open_calls = 0
print(f"[Monitor] Triggered recovery for {status['name']}")エラー2：API Key无效または権限不足
エラー内容：「401 Unauthorized」または「403 Forbidden」错误
原因：API Keyが正しく設定されていない、または有効期限切れ
解決コード：
# API Key验证和错误处理
async def verify_and_handle_api_key():
"""验证HolySheep API Key有效性"""
headers = {
"Authorization": f"Bearer {HOLYSHEEP_API_KEY}",
"Content-Type": "application/json"
}
try:
async with httpx.AsyncClient(timeout=10.0) as client:
# 测试API端点（获取模型列表）
response = await client.get(
f"{HOLYSHEEP_BASE_URL}/models",
headers=headers
)
if response.status_code == 200:
print("✅ API Key验证成功")
models = response.json()
print(f"可用模型: {[m['id'] for m in models.get('data', [])]}")
return True
elif response.status_code == 401:
print("❌ API Key无效，请检查:")
print(" 1. 访问 https://www.holysheep.ai/register 获取新Key")
print(" 2. 确认Key没有多余空格")
print(" 3. 确认Key没有被撤销")
return False
elif response.status_code == 403:
print("❌ API Key权限不足，可能需要升级账户")
return False
except Exception as e:
print(f"❌ 连接错误: {e}")
print(" 请检查:")
print(" 1. 网络连接是否正常")
print(" 2. API端点地址是否正确: https://api.holysheep.ai/v1")
return False
初始化时验证
async def initialize_with_validation():
gateway = MultiModelGateway()
# 首先验证API Key
if not await verify_and_handle_api_key():
raise Exception("HolySheep API Key验证失败，程序终止")
return gatewayエラー3：熔断器状态不一致导致请求丢失
エラー内容：所有模型熔断器同时OPEN，或者状态显示与实际不符
原因：并发请求过多导致状态竞争，或者上次运行的状态残留
解決コード：
import threading
import asyncio
class ThreadSafeCircuitBreaker(CircuitBreaker):
"""线程安全的熔断器实现"""
def __init__(self, name, config=None):
super().__init__(name, config)
self._lock = threading.RLock()
def record_success(self):
with self._lock:
super().record_success()
def record_failure(self):
with self._lock:
super().record_failure()
def can_attempt(self):
with self._lock:
return super().can_attempt()
def on_attempt(self):
with self._lock:
super().on_attempt()
def reset(self):
"""完全重置熔断器状态"""
with self._lock:
self.state = CircuitState.CLOSED
self.failure_count = 0
self.success_count = 0
self.last_failure_time = None
self.half_open_calls = 0
print(f"[ThreadSafeCircuitBreaker] {self.name} fully reset")
class DistributedCircuitBreaker:
"""分布式熔断器（使用Redis等共享存储）"""
def __init__(self, redis_client=None):
self.redis = redis_client
self.local_breakers = {}
async def record_failure(self, model_id):
"""跨实例记录失败（需要Redis支持）"""
if self.redis:
key = f"circuit_breaker:{model_id}"
pipe = self.redis.pipeline()
pipe.incr(key)
pipe.expire(key, 300) # 5分钟内过期
results = await pipe.execute()
failure_count = results[0]
if failure_count >= 5:
# 通知其他实例
await self.redis.set(f"{key}:open", "1", ex=30)
print(f"[Distributed] Circuit breaker triggered for {model_id}")
def get_global_status(self, model_id):
"""获取全局熔断器状态"""
if self.redis:
open_status = self.redis.get(f"circuit_breaker:{model_id}:open")
return {"model": model_id, "globally_open": open_status == "1"}
return {"model": model_id, "globally_open": False}高级配置选项
# 生产环境推奨設定
PRODUCTION_CONFIG = {
# 模型配置
"models": {
"primary": {
"id": "gpt-4.1",
"timeout_ms": 10000,
"rate_limit": 100, # 每分钟请求数
"circuit_breaker": {
"failure_threshold": 3,
"recovery_timeout": 60,
"half_open_max_calls": 2,
"success_threshold": 2
}
},
"secondary": {
"id": "claude-sonnet-4-5",
"timeout_ms": 15000,
"rate_limit": 80,
"circuit_breaker": {
"failure_threshold": 5,
"recovery_timeout": 45,
"half_open_max_calls": 3,
"success_threshold": 2
}
},
"fallback": {
"id": "deepseek-v3",
"timeout_ms": 8000,
"rate_limit": 200,
"circuit_breaker": {
"failure_threshold": 10,
"recovery_timeout": 30,
"half_open_max_calls": 5,
"success_threshold": 3
}
}
},
# 全局降级策略
"degradation": {
"enable_cascade": True, # 启用级联降级
"max_retries": 3,
"retry_delay_ms": 1000,
"fallback_on_timeout": True,
"fallback_on_error": True,