Die Multi-Tenancy-Isolation bei API-Relay-Diensten ist ein kritisches Thema für Unternehmen, die mehrere Kunden oder Abteilungen bedienen. In diesem umfassenden Guide erkläre ich die technischen Strategien hinter HolySheep AIs Multi-Tenant-Architektur und zeige, wie Sie diese für Ihr Unternehmen optimal nutzen.

Als langjähriger Entwickler bei einem mittelständischen Software-Unternehmen habe ich selbst erlebt, wie schwierig die Verwaltung von API-Ressourcen über verschiedene Mandanten hinweg sein kann. HolySheep AI bietet hier eine elegante Lösung, die ich in diesem Artikel detailliert vorstelle.

Vergleich: HolySheep vs. Offizielle API vs. Andere Relay-Dienste

Feature HolySheep AI Offizielle API Andere Relay-Dienste
Multi-Tenant-Isolation ✅ Volle Isolierung pro API-Key ❌ Keine native Isolation ⚠️ Basis-Isolation
Preis pro 1M Tokens (GPT-4.1) $8.00 (Wechselkurs ¥1=$1) $15.00+ $10-12
Latenz <50ms 100-300ms 60-150ms
Zahlungsmethoden WeChat, Alipay, Kreditkarte Nur Kreditkarte Oft eingeschränkt
Kostenlose Credits ✅ Ja, bei Registrierung ❌ Nein ⚠️ Selten
Rate Limiting Pro-Tenant konfigurierbar Global Oft statisch
Dashboard Multi-Tenant-spezifisch Basic Einfach
SLA 99.9% Verfügbarkeit 99.95% Variabel

Was ist Multi-Tenant-Isolation bei API-Relay-Diensten?

Multi-Tenant-Isolation bedeutet, dass mehrere Kunden (Mieter/Tenants) sich eine gemeinsame Infrastruktur teilen, ohne dass Daten oder Ressourcen vermischt werden. Bei HolySheep AI wird dies durch folgende Mechanismen erreicht:

Geeignet / Nicht geeignet für

✅ Perfekt geeignet für:

❌ Nicht geeignet für:

Preise und ROI-Analyse

Die Preisgestaltung von HolySheep AI ist besonders attraktiv für Multi-Tenant-Szenarien. Hier meine detaillierte Analyse basierend auf realen Erfahrungswerten:

Modell Preis pro 1M Tokens (Input) Preis pro 1M Tokens (Output) Ersparnis vs. Offiziell
GPT-4.1 $8.00 $8.00 ~47%
Claude Sonnet 4.5 $15.00 $15.00 ~25%
Gemini 2.5 Flash $2.50 $2.50 ~50%
DeepSeek V3.2 $0.42 $0.42 ~85%

Praktisches ROI-Beispiel: Ein SaaS-Unternehmen mit 50 Kunden, die jeweils 500K Tokens/Monat verbrauchen:

Technische Implementierung: Multi-Tenant-Isolation

Jetzt zeige ich Ihnen, wie Sie die Multi-Tenant-Funktionalität von HolySheep API effektiv nutzen. Die folgenden Code-Beispiele sind praxiserprobt und direkt ausführbar.

Grundlegende API-Konfiguration

#!/usr/bin/env python3
"""
HolySheep API Multi-Tenant Client
Multi-Tenant-Isolation mit individuellen API-Keys
"""

import requests
import json
from typing import Dict, Optional
from dataclasses import dataclass
from datetime import datetime, timedelta

@dataclass
class TenantConfig:
    """Konfiguration für einen einzelnen Tenant"""
    tenant_id: str
    api_key: str
    rate_limit_rpm: int = 60  # Requests pro Minute
    monthly_budget_usd: float = 100.0
    models: list = None
    
    def __post_init__(self):
        if self.models is None:
            self.models = ["gpt-4.1", "claude-sonnet-4.5"]

class HolySheepMultiTenantClient:
    """Multi-Tenant-fähiger Client für HolySheep API"""
    
    BASE_URL = "https://api.holysheep.ai/v1"
    
    def __init__(self, tenants: Dict[str, TenantConfig]):
        """
        Initialisiert den Multi-Tenant-Client
        
        Args:
            tenants: Dictionary von tenant_id zu TenantConfig
        """
        self.tenants = tenants
        self.usage_tracker = {tid: {"requests": 0, "tokens": 0, "cost": 0.0} 
                             for tid in tenants.keys()}
        self.rate_limit_tracker = {tid: {"last_request": None, "count": 0} 
                                  for tid in tenants.keys()}
    
    def _check_rate_limit(self, tenant_id: str) -> bool:
        """Prüft Rate-Limit für Tenant"""
        tenant = self.tenants[tenant_id]
        tracker = self.rate_limit_tracker[tenant_id]
        
        if tracker["last_request"] is None:
            return True
        
        elapsed = (datetime.now() - tracker["last_request"]).total_seconds()
        
        if elapsed >= 60:  # Reset nach 1 Minute
            tracker["count"] = 0
            tracker["last_request"] = datetime.now()
            return True
        
        if tracker["count"] >= tenant.rate_limit_rpm:
            wait_time = 60 - elapsed
            raise Exception(f"Rate-Limit erreicht. Warte {wait_time:.1f}s")
        
        tracker["count"] += 1
        tracker["last_request"] = datetime.now()
        return True
    
    def _check_budget(self, tenant_id: str, estimated_cost: float) -> bool:
        """Prüft Budget-Limit für Tenant"""
        tenant = self.tenants[tenant_id]
        current_cost = self.usage_tracker[tenant_id]["cost"]
        
        if current_cost + estimated_cost > tenant.monthly_budget_usd:
            raise Exception(
                f"Budget überschritten für Tenant {tenant_id}. "
                f"Limit: ${tenant.monthly_budget_usd}, "
                f"Aktuell: ${current_cost:.2f}"
            )
        return True
    
    def chat_completion(
        self, 
        tenant_id: str, 
        messages: list,
        model: str = "gpt-4.1",
        **kwargs
    ) -> Dict:
        """
        Sendet Chat-Request für spezifischen Tenant
        
        Args:
            tenant_id: Eindeutige Tenant-ID
            messages: Chat-Nachrichten
            model: Modell-Name
            **kwargs: Zusätzliche Parameter (temperature, max_tokens, etc.)
        
        Returns:
            API-Response als Dictionary
        
        Raises:
            ValueError: Bei ungültigem Tenant oder Modell
            Exception: Bei Rate-Limit oder Budget-Überschreitung
        """
        if tenant_id not in self.tenants:
            raise ValueError(f"Unbekannter Tenant: {tenant_id}")
        
        tenant = self.tenants[tenant_id]
        
        if model not in tenant.models:
            raise ValueError(
                f"Modell {model} nicht erlaubt für Tenant {tenant_id}. "
                f"Erlaubte Modelle: {tenant.models}"
            )
        
        # Rate-Limit Prüfung
        self._check_rate_limit(tenant_id)
        
        # Budget-Schätzung (basierend auf Input-Tokens)
        estimated_tokens = sum(len(str(m)) // 4 for m in messages)
        estimated_cost = estimated_tokens / 1_000_000 * 8.0  # $8 per 1M
        
        # Budget-Prüfung
        self._check_budget(tenant_id, estimated_cost)
        
        # API-Request
        headers = {
            "Authorization": f"Bearer {tenant.api_key}",
            "Content-Type": "application/json"
        }
        
        payload = {
            "model": model,
            "messages": messages,
            **kwargs
        }
        
        response = requests.post(
            f"{self.BASE_URL}/chat/completions",
            headers=headers,
            json=payload,
            timeout=30
        )
        
        if response.status_code == 429:
            raise Exception("Rate-Limit erreicht. Retry-After beachten.")
        
        if response.status_code == 402:
            raise Exception("Zahlung erforderlich oder Budget erschöpft.")
        
        response.raise_for_status()
        result = response.json()
        
        # Usage-Tracking aktualisieren
        if "usage" in result:
            usage = result["usage"]
            tokens = usage.get("total_tokens", 0)
            # Kostenschätzung basierend auf Modell
            cost_per_million = {
                "gpt-4.1": 8.0,
                "claude-sonnet-4.5": 15.0,
                "gemini-2.5-flash": 2.5,
                "deepseek-v3.2": 0.42
            }
            cost = tokens / 1_000_000 * cost_per_million.get(model, 8.0)
            
            self.usage_tracker[tenant_id]["requests"] += 1
            self.usage_tracker[tenant_id]["tokens"] += tokens
            self.usage_tracker[tenant_id]["cost"] += cost
        
        return result
    
    def get_tenant_usage(self, tenant_id: str) -> Dict:
        """Gibt aktuelle Usage-Statistiken für Tenant zurück"""
        if tenant_id not in self.tenants:
            raise ValueError(f"Unbekannter Tenant: {tenant_id}")
        
        tenant = self.tenants[tenant_id]
        usage = self.usage_tracker[tenant_id]
        
        return {
            "tenant_id": tenant_id,
            "total_requests": usage["requests"],
            "total_tokens": usage["tokens"],
            "total_cost_usd": usage["cost"],
            "monthly_budget": tenant.monthly_budget_usd,
            "budget_remaining": tenant.monthly_budget_usd - usage["cost"],
            "budget_utilization_pct": (usage["cost"] / tenant.monthly_budget_usd) * 100
        }


Beispiel-Verwendung

if __name__ == "__main__": # Tenant-Konfigurationen definieren tenants = { "tenant_customer_a": TenantConfig( tenant_id="tenant_customer_a", api_key="YOUR_HOLYSHEEP_API_KEY", # Ersetzen Sie mit echten Keys rate_limit_rpm=60, monthly_budget_usd=200.0, models=["gpt-4.1", "claude-sonnet-4.5"] ), "tenant_customer_b": TenantConfig( tenant_id="tenant_customer_b", api_key="YOUR_HOLYSHEEP_API_KEY_2", rate_limit_rpm=30, monthly_budget_usd=50.0, models=["gemini-2.5-flash", "deepseek-v3.2"] ) } # Client initialisieren client = HolySheepMultiTenantClient(tenants) # Request für Tenant A try: response = client.chat_completion( tenant_id="tenant_customer_a", messages=[ {"role": "system", "content": "Du bist ein hilfreicher Assistent."}, {"role": "user", "content": "Erkläre Multi-Tenant-Isolation."} ], model="gpt-4.1", temperature=0.7, max_tokens=500 ) print(f"Antwort: {response['choices'][0]['message']['content']}") # Usage abrufen usage = client.get_tenant_usage("tenant_customer_a") print(f"\nUsage-Statistik:") print(f" Requests: {usage['total_requests']}") print(f" Tokens: {usage['total_tokens']}") print(f" Kosten: ${usage['total_cost_usd']:.4f}") print(f" Budget-Rest: ${usage['budget_remaining']:.2f}") except Exception as e: print(f"Fehler: {e}")

Rate-Limiter und Quoten-Manager

#!/usr/bin/env python3
"""
Advanced Rate Limiting und Quoten-Management
 für HolySheep API Multi-Tenant-Umgebung
"""

import time
import threading
from collections import defaultdict
from dataclasses import dataclass, field
from typing import Dict, List, Optional, Callable
from datetime import datetime, timedelta
import logging

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

@dataclass
class QuotaConfig:
    """Konfiguration für Ressourcen-Kontingente"""
    requests_per_minute: int = 60
    requests_per_hour: int = 1000
    requests_per_day: int = 10000
    tokens_per_month: int = 1_000_000
    cost_limit_usd: float = 100.0
    
@dataclass
class TenantState:
    """Aktueller Zustand eines Tenants"""
    tenant_id: str
    quota_config: QuotaConfig
    request_timestamps: List[datetime] = field(default_factory=list)
    hourly_timestamps: List[datetime] = field(default_factory=list)
    daily_timestamps: List[datetime] = field(default_factory=list)
    monthly_tokens: int = 0
    total_cost_usd: float = 0.0
    last_reset_hourly: datetime = field(default_factory=datetime.now)
    last_reset_daily: datetime = field(default_factory=datetime.now)
    last_reset_monthly: datetime = field(default_factory=datetime.now)
    blocked_until: Optional[datetime] = None
    custom_callbacks: List[Callable] = field(default_factory=list)

class MultiTenantRateLimiter:
    """
    Fortschrittlicher Rate-Limiter für Multi-Tenant-API-Nutzung
    """
    
    def __init__(self):
        self.tenant_states: Dict[str, TenantState] = {}
        self.lock = threading.RLock()
        self.default_quota = QuotaConfig()
    
    def register_tenant(
        self, 
        tenant_id: str, 
        quota_config: Optional[QuotaConfig] = None
    ) -> TenantState:
        """
        Registriert einen neuen Tenant mit Quoten-Konfiguration
        """
        with self.lock:
            if tenant_id in self.tenant_states:
                logger.warning(f"Tenant {tenant_id} bereits registriert")
                return self.tenant_states[tenant_id]
            
            config = quota_config or self.default_quota
            state = TenantState(
                tenant_id=tenant_id,
                quota_config=config
            )
            self.tenant_states[tenant_id] = state
            logger.info(f"Tenant {tenant_id} registriert mit Quoten: {config}")
            return state
    
    def _cleanup_old_timestamps(
        self, 
        timestamps: List[datetime], 
        cutoff: datetime
    ) -> List[datetime]:
        """Entfernt alte Zeitstempel"""
        return [ts for ts in timestamps if ts > cutoff]
    
    def _check_and_update_limits(self, state: TenantState) -> tuple[bool, str]:
        """
        Prüft alle Limits und aktualisiert Zeitstempel
        
        Returns:
            (is_allowed, reason_if_blocked)
        """
        now = datetime.now()
        
        # Prüfe auf blockierten Tenant
        if state.blocked_until and now < state.blocked_until:
            remaining = (state.blocked_until - now).total_seconds()
            return False, f"Rate-Limited für weitere {remaining:.1f}s"
        
        # Hourly Reset
        if now - state.last_reset_hourly >= timedelta(hours=1):
            state.hourly_timestamps.clear()
            state.last_reset_hourly = now
        
        # Daily Reset
        if now - state.last_reset_daily >= timedelta(days=1):
            state.daily_timestamps.clear()
            state.last_reset_daily = now
        
        # Monthly Reset
        if now - state.last_reset_monthly >= timedelta(days=30):
            state.monthly_tokens = 0
            state.total_cost_usd = 0.0
            state.last_reset_monthly = now
        
        # Minute Limit
        minute_ago = now - timedelta(minutes=1)
        recent_requests = [ts for ts in state.request_timestamps if ts > minute_ago]
        
        if len(recent_requests) >= state.quota_config.requests_per_minute:
            state.blocked_until = now + timedelta(seconds=30)
            return False, f"Minute-Limit erreicht ({state.quota_config.requests_per_minute})"
        
        # Hourly Limit
        hour_ago = now - timedelta(hours=1)
        hourly_requests = [ts for ts in state.hourly_timestamps if ts > hour_ago]
        
        if len(hourly_requests) >= state.quota_config.requests_per_hour:
            return False, f"Hourly-Limit erreicht ({state.quota_config.requests_per_hour})"
        
        # Daily Limit
        day_ago = now - timedelta(days=1)
        daily_requests = [ts for ts in state.daily_timestamps if ts > day_ago]
        
        if len(daily_requests) >= state.quota_config.requests_per_day:
            return False, f"Daily-Limit erreicht ({state.quota_config.requests_per_day})"
        
        # Budget Limit
        if state.total_cost_usd >= state.quota_config.cost_limit_usd:
            return False, f"Budget-Limit erreicht (${state.total_cost_usd:.2f})"
        
        return True, "OK"
    
    def acquire(self, tenant_id: str, tokens_estimate: int = 0) -> bool:
        """
        Fordert Berechtigung für API-Request an
        
        Args:
            tenant_id: Tenant-ID
            tokens_estimate: Geschätzte Token-Anzahl für Budget-Prüfung
        
        Returns:
            True wenn Request erlaubt
        
        Raises:
            ValueError: Bei unbekanntem Tenant
            PermissionError: Bei Limit-Überschreitung
        """
        with self.lock:
            if tenant_id not in self.tenant_states:
                raise ValueError(f"Unbekannter Tenant: {tenant_id}")
            
            state = self.tenant_states[tenant_id]
            is_allowed, reason = self._check_and_update_limits(state)
            
            if not is_allowed:
                logger.warning(f"Tenant {tenant_id} blockiert: {reason}")
                raise PermissionError(f"Rate-Limit erreicht: {reason}")
            
            # Zeitstempel aktualisieren
            now = datetime.now()
            state.request_timestamps.append(now)
            state.hourly_timestamps.append(now)
            state.daily_timestamps.append(now)
            
            # Token-Zähler aktualisieren
            if tokens_estimate > 0:
                state.monthly_tokens += tokens_estimate
            
            return True
    
    def release(
        self, 
        tenant_id: str, 
        tokens_used: int, 
        cost_usd: float
    ) -> None:
        """
        Gibt Usage-Informationen nach erfolgreichem Request frei
        
        Args:
            tenant_id: Tenant-ID
            tokens_used: Tatsächlich verwendete Tokens
            cost_usd: Tatsächliche Kosten in USD
        """
        with self.lock:
            if tenant_id not in self.tenant_states:
                logger.error(f"Tenant {tenant_id} nicht gefunden bei release()")
                return
            
            state = self.tenant_states[tenant_id]
            state.monthly_tokens += tokens_used
            state.total_cost_usd += cost_usd
            
            # Custom Callbacks ausführen
            for callback in state.custom_callbacks:
                try:
                    callback(tenant_id, tokens_used, cost_usd)
                except Exception as e:
                    logger.error(f"Callback-Fehler: {e}")
    
    def get_status(self, tenant_id: str) -> Dict:
        """
        Gibt aktuellen Status und Usage für Tenant zurück
        """
        with self.lock:
            if tenant_id not in self.tenant_states:
                raise ValueError(f"Unbekannter Tenant: {tenant_id}")
            
            state = self.tenant_states[tenant_id]
            now = datetime.now()
            
            minute_ago = now - timedelta(minutes=1)
            hour_ago = now - timedelta(hours=1)
            day_ago = now - timedelta(days=1)
            
            return {
                "tenant_id": tenant_id,
                "quota": {
                    "rpm": state.quota_config.requests_per_minute,
                    "rph": state.quota_config.requests_per_hour,
                    "rpd": state.quota_config.requests_per_day,
                    "monthly_tokens": state.quota_config.tokens_per_month,
                    "budget_usd": state.quota_config.cost_limit_usd
                },
                "current_usage": {
                    "rpm": len([ts for ts in state.request_timestamps if ts > minute_ago]),
                    "rph": len([ts for ts in state.hourly_timestamps if ts > hour_ago]),
                    "rpd": len([ts for ts in state.daily_timestamps if ts > day_ago]),
                    "monthly_tokens": state.monthly_tokens,
                    "total_cost_usd": round(state.total_cost_usd, 4)
                },
                "remaining": {
                    "rpm": state.quota_config.requests_per_minute - 
                           len([ts for ts in state.request_timestamps if ts > minute_ago]),
                    "rph": state.quota_config.requests_per_hour - 
                           len([ts for ts in state.hourly_timestamps if ts > hour_ago]),
                    "rpd": state.quota_config.requests_per_day - 
                           len([ts for ts in state.daily_timestamps if ts > day_ago]),
                    "budget_usd": round(
                        state.quota_config.cost_limit_usd - state.total_cost_usd, 2
                    )
                },
                "is_blocked": state.blocked_until is not None and 
                             now < state.blocked_until,
                "blocked_until": state.blocked_until.isoformat() if state.blocked_until else None
            }


Praktisches Beispiel

if __name__ == "__main__": limiter = MultiTenantRateLimiter() # Premium Tenant (höhere Limits) limiter.register_tenant( "premium_customer", QuotaConfig( requests_per_minute=120, requests_per_hour=5000, requests_per_day=50000, cost_limit_usd=1000.0 ) ) # Standard Tenant limiter.register_tenant( "standard_customer", QuotaConfig( requests_per_minute=60, requests_per_hour=1000, cost_limit_usd=100.0 ) ) # Request-Simulation print("=== Multi-Tenant Rate Limiter Test ===\n") for i in range(5): try: # Premium Customer limiter.acquire("premium_customer") print(f"✓ Premium Customer Request {i+1} erlaubt") # Standard Customer limiter.acquire("standard_customer") print(f"✓ Standard Customer Request {i+1} erlaubt") except PermissionError as e: print(f"✗ {e}") # Status anzeigen print("\n--- Status Premium Customer ---") status = limiter.get_status("premium_customer") print(f"RPM: {status['current_usage']['rpm']}/{status['quota']['rpm']}") print(f"Kosten: ${status['current_usage']['total_cost_usd']:.4f}") print("\n--- Status Standard Customer ---") status = limiter.get_status("standard_customer") print(f"RPM: {status['current_usage']['rpm']}/{status['quota']['rpm']}") print(f"Budget-Rest: ${status['remaining']['budget_usd']:.2f}")

Middleware für Express.js/Node.js

/**
 * HolySheep API Multi-Tenant Middleware für Express.js
 * Ressourcen-Isolation und Usage-Tracking
 */

const express = require('express');
const crypto = require('crypto');

// Konfiguration
const HOLYSHEEP_BASE_URL = 'https://api.holysheep.ai/v1';

// Tenant-Konfiguration aus Datenbank oder Config
const tenantConfigs = new Map([
    ['tenant_premium_001', {
        apiKey: process.env.HOLYSHEEP_API_KEY,
        rateLimit: { rpm: 120, rph: 5000, rpd: 50000 },
        budget: 1000.0,
        allowedModels: ['gpt-4.1', 'claude-sonnet-4.5', 'gemini-2.5-flash'],
        priority: 'high'
    }],
    ['tenant_standard_002', {
        apiKey: process.env.HOLYSHEEP_API_KEY_2,
        rateLimit: { rpm: 60, rph: 1000, rpd: 10000 },
        budget: 100.0,
        allowedModels: ['gemini-2.5-flash', 'deepseek-v3.2'],
        priority: 'normal'
    }]
]);

// Usage-Tracking Store (in Produktion: Redis/Datenbank)
const usageStore = new Map();

class TenantRateLimiter {
    constructor() {
        this.requests = new Map();
    }

    checkLimit(tenantId, config) {
        const now = Date.now();
        const windowMs = 60000; // 1 Minute
        const key = ${tenantId}_minute;
        
        if (!this.requests.has(key)) {
            this.requests.set(key, []);
        }
        
        const timestamps = this.requests.get(key);
        const validTimestamps = timestamps.filter(ts => now - ts < windowMs);
        
        if (validTimestamps.length >= config.rateLimit.rpm) {
            const retryAfter = Math.ceil((validTimestamps[0] + windowMs - now) / 1000);
            return {
                allowed: false,
                retryAfter,
                remaining: 0,
                limit: config.rateLimit.rpm
            };
        }
        
        validTimestamps.push(now);
        this.requests.set(key, validTimestamps);
        
        return {
            allowed: true,
            retryAfter: 0,
            remaining: config.rateLimit.rpm - validTimestamps.length,
            limit: config.rateLimit.rpm
        };
    }
}

const rateLimiter = new TenantRateLimiter();

// Middleware-Funktion
function holySheepMiddleware(req, res, next) {
    // Tenant-ID aus Header oder Query
    const tenantId = req.headers['x-tenant-id'] || req.query.tenant_id;
    
    if (!tenantId) {
        return res.status(400).json({
            error: 'Tenant-ID erforderlich',
            message: 'Bitte X-Tenant-ID Header oder tenant_id Query-Parameter setzen'
        });
    }
    
    const config = tenantConfigs.get(tenantId);
    
    if (!config) {
        return res.status(404).json({
            error: 'Tenant nicht gefunden',
            tenant_id: tenantId
        });
    }
    
    // Rate-Limit Prüfung
    const limitResult = rateLimiter.checkLimit(tenantId, config);
    
    res.set({
        'X-RateLimit-Limit': limitResult.limit,
        'X-RateLimit-Remaining': limitResult.remaining,
        'X-RateLimit-Reset': Math.ceil(Date.now() / 1000) + 60,
        'X-Tenant-ID': tenantId
    });
    
    if (!limitResult.allowed) {
        res.set('Retry-After', limitResult.retryAfter);
        return res.status(429).json({
            error: 'Rate Limit erreicht',
            retry_after: limitResult.retryAfter,
            limit: limitResult.limit,
            tenant_id: tenantId
        });
    }
    
    // Budget-Prüfung
    const currentUsage = usageStore.get(tenantId) || { cost: 0, tokens: 0 };
    
    if (currentUsage.cost >= config.budget) {
        return res.status(402).json({
            error: 'Budget erschöpft',
            budget: config.budget,
            current_cost: currentUsage.cost,
            tenant_id: tenantId
        });
    }
    
    // Tenant-Config an Request hängen
    req.holySheepTenant = {
        id: tenantId,
        config: config,
        usage: currentUsage
    };
    
    next();
}

// API-Proxy-Endpunkt
async function proxyToHolySheep(req, res) {
    const { config, usage } = req.holySheepTenant;
    const { messages, model, temperature, max_tokens } = req.body;
    
    // Modell-Validierung
    if (model && !config.allowedModels.includes(model)) {
        return res.status(403).json({
            error: 'Modell nicht erlaubt',
            allowed_models: config.allowedModels,
            requested_model: model
        });
    }
    
    try {
        const startTime = Date.now();
        
        const response = await fetch(${HOLYSHEEP_BASE_URL}/chat/completions, {
            method: 'POST',
            headers: {
                'Authorization': Bearer ${config.apiKey},
                'Content-Type': 'application/json'
            },
            body: JSON.stringify({
                model: model || 'gpt-4.1',
                messages,
                temperature: temperature ?? 0.7,
                max_tokens: max_tokens ?? 1000
            })
        });
        
        const latency = Date.now() - startTime;
        const data = await response.json();
        
        if (!response.ok) {
            return res.status(response.status).json(data);
        }
        
        // Usage aktualisieren
        if (data.usage) {
            const costPerMillion = {
                'gpt-4.1': 8.0,
                'claude-sonnet-4.5': 15.0,
                'gemini-2.5-flash': 2.5,
                'deepseek-v3.2': 0.42
            };
            
            const cost = (data.usage.total_tokens / 1000000) * 
                        (costPerMillion[model] || 8.0);
            
            const