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Claude Code Router

Umfassende Claude Code Router-Befehle und Workflows zum Routing von Claude Code-Anfragen an verschiedene KI-Modelle, die Multimodell-Entwicklung und Kostenoptimierung ermöglichen.

Überblick

Claude Code Router ist ein Open-Source-Tool, das als lokaler Proxy für Claude Code-Anfragen fungiert und es Entwicklern ermöglicht, Anfragen abzufangen, zu modifizieren und an verschiedene KI-Modelle wie GPT-4, Gemini, lokale Modelle und andere OpenAI-kompatible APIs zu routen. Dies ermöglicht Entwicklern, die leistungsstarke Schnittstelle von Claude Code zu nutzen und gleichzeitig verschiedene Modelle für spezifische Aufgaben, Kostenoptimierung oder den Zugriff auf kostenlose API-Credits zu verwenden.

⚠️ Nutzungshinweis: Claude Code Router modifiziert API-Anfragen und erfordert eine ordnungsgemäße Konfiguration von API-Schlüsseln und Endpunkten. Stellen Sie immer sicher, dass Anmeldedaten sicher behandelt und die Nutzungsbedingungen der API eingehalten werden.

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Install via npm

npm install -g claude-code-router

Install via pip

pip install claude-code-router

Clone from GitHub

git clone https://github.com/musistudio/claude-code-router.git cd claude-code-router npm install 

### Docker Installation
```bash
# Pull Docker image
docker pull claudecode/router:latest

# Run with Docker
docker run -p 8080:8080 -e OPENAI_API_KEY=your-key claudecode/router

# Docker Compose
version: '3.8'
services:
  claude-router:
    image: claudecode/router:latest
    ports:
      - "8080:8080"
    environment:
      - OPENAI_API_KEY=${OPENAI_API_KEY}
      - ANTHROPIC_API_KEY=${ANTHROPIC_API_KEY}

Build from Source

# Clone repository
git clone https://github.com/musistudio/claude-code-router.git
cd claude-code-router

# Install dependencies
npm install

# Build project
npm run build

# Start router
npm start

Configuration

Basic Configuration

{
  "router": {
    "port": 8080,
    "host": "localhost",
    "logLevel": "info",
    "enableCors": true
  },
  "models": {
    "claude-3-sonnet": {
      "provider": "anthropic",
      "apiKey": "${ANTHROPIC_API_KEY}",
      "endpoint": "https://api.anthropic.com/v1/messages"
    },
    "gpt-4": {
      "provider": "openai",
      "apiKey": "${OPENAI_API_KEY}",
      "endpoint": "https://api.openai.com/v1/chat/completions"
    },
    "gemini-pro": {
      "provider": "google",
      "apiKey": "${GOOGLE_API_KEY}",
      "endpoint": "https://generativelanguage.googleapis.com/v1/models"
    }
  },
  "routing": {
    "defaultModel": "claude-3-sonnet",
    "fallbackModel": "gpt-4",
    "loadBalancing": false,
    "costOptimization": true
  }
}

Advanced Routing Rules

{
  "routingRules": [
    {
      "name": "code_generation",
      "condition": {
        "messageContains": ["write code", "implement", "create function"],
        "fileTypes": [".py", ".js", ".ts", ".java"]
      },
      "targetModel": "gpt-4",
      "priority": 1
    },
    {
      "name": "documentation",
      "condition": {
        "messageContains": ["document", "explain", "comment"],
        "taskType": "documentation"
      },
      "targetModel": "claude-3-sonnet",
      "priority": 2
    },
    {
      "name": "cost_optimization",
      "condition": {
        "tokenCount": { "max": 1000 },
        "complexity": "low"
      },
      "targetModel": "gpt-3.5-turbo",
      "priority": 3
    }
  ]
}

Core Commands

Router Management

Befehl Beschreibung
router start Starten Sie den Claude Code Router
router stop Stoppen Sie den Router-Dienst
router restart Router neu starten
router status Router-Status prüfen
router config Aktuelle Konfiguration anzeigen
router logs Router-Protokolle anzeigen
router health Health-Check-Endpunkt
### Model Management
Befehl Beschreibung
--------- -------------
router models list Verfügbare Modelle auflisten
router models add Neue Modellkonfiguration hinzufügen
router models remove Modellkonfiguration entfernen
router models test Modell-Konnektivität testen
router models switch Standard-Modell wechseln
router models status Model-Status prüfen
## Claude Code Integration

Configure Claude Code

# Set Claude Code to use router
export ANTHROPIC_API_BASE=http://localhost:8080/v1
export ANTHROPIC_API_KEY=router-proxy-key

# Alternative configuration
claude-code config set api.base_url http://localhost:8080/v1
claude-code config set api.key router-proxy-key

# Verify configuration
claude-code config show

Router Proxy Setup

# Start router with specific configuration
claude-code-router --config config.json --port 8080

# Start with environment variables
ROUTER_PORT=8080 ROUTER_CONFIG=config.json claude-code-router

# Start with custom models
claude-code-router --models gpt-4,claude-3-sonnet,gemini-pro

Model Providers

OpenAI Integration

{
  "openai": {
    "apiKey": "${OPENAI_API_KEY}",
    "baseUrl": "https://api.openai.com/v1",
    "models": {
      "gpt-4": {
        "maxTokens": 8192,
        "temperature": 0.7,
        "costPerToken": 0.00003
      },
      "gpt-3.5-turbo": {
        "maxTokens": 4096,
        "temperature": 0.7,
        "costPerToken": 0.000002
      }
    }
  }
}

Google Gemini Integration

{
  "google": {
    "apiKey": "${GOOGLE_API_KEY}",
    "baseUrl": "https://generativelanguage.googleapis.com/v1",
    "models": {
      "gemini-pro": {
        "maxTokens": 32768,
        "temperature": 0.7,
        "costPerToken": 0.000001
      },
      "gemini-pro-vision": {
        "maxTokens": 16384,
        "temperature": 0.7,
        "supportsImages": true
      }
    }
  }
}

Local Model Integration

{
  "local": {
    "baseUrl": "http://localhost:11434/v1",
    "models": {
      "llama2": {
        "endpoint": "/api/generate",
        "maxTokens": 4096,
        "temperature": 0.7,
        "costPerToken": 0
      },
      "codellama": {
        "endpoint": "/api/generate",
        "maxTokens": 8192,
        "temperature": 0.3,
        "specialization": "code"
      }
    }
  }
}

OpenRouter Integration

{
  "openrouter": {
    "apiKey": "${OPENROUTER_API_KEY}",
    "baseUrl": "https://openrouter.ai/api/v1",
    "models": {
      "anthropic/claude-3-sonnet": {
        "maxTokens": 200000,
        "costPerToken": 0.000015
      },
      "openai/gpt-4": {
        "maxTokens": 8192,
        "costPerToken": 0.00003
      },
      "google/gemini-pro": {
        "maxTokens": 32768,
        "costPerToken": 0.000001
      }
    }
  }
}

Routing Strategies

Load Balancing

{
  "loadBalancing": {
    "enabled": true,
    "strategy": "round_robin",
    "models": ["gpt-4", "claude-3-sonnet", "gemini-pro"],
    "weights": {
      "gpt-4": 0.4,
      "claude-3-sonnet": 0.4,
      "gemini-pro": 0.2
    },
    "healthCheck": {
      "enabled": true,
      "interval": 60,
      "timeout": 10
    }
  }
}

Cost Optimization

{
  "costOptimization": {
    "enabled": true,
    "budget": {
      "daily": 10.00,
      "monthly": 300.00,
      "currency": "USD"
    },
    "rules": [
      {
        "condition": "tokenCount < 500",
        "model": "gpt-3.5-turbo"
      },
      {
        "condition": "tokenCount >= 500 && tokenCount < 2000",
        "model": "claude-3-haiku"
      },
      {
        "condition": "tokenCount >= 2000",
        "model": "claude-3-sonnet"
      }
    ]
  }
}

Intelligent Routing

{
  "intelligentRouting": {
    "enabled": true,
    "rules": [
      {
        "name": "code_tasks",
        "patterns": ["implement", "write code", "debug", "refactor"],
        "model": "gpt-4",
        "confidence": 0.8
      },
      {
        "name": "analysis_tasks",
        "patterns": ["analyze", "explain", "review", "understand"],
        "model": "claude-3-sonnet",
        "confidence": 0.9
      },
      {
        "name": "creative_tasks",
        "patterns": ["create", "design", "brainstorm", "generate"],
        "model": "gemini-pro",
        "confidence": 0.7
      }
    ]
  }
}

Monitoring and Analytics

Usage Tracking

# View usage statistics
curl http://localhost:8080/api/stats

# Model usage breakdown
curl http://localhost:8080/api/stats/models

# Cost analysis
curl http://localhost:8080/api/stats/costs

# Performance metrics
curl http://localhost:8080/api/stats/performance

Logging Configuration

{
  "logging": {
    "level": "info",
    "format": "json",
    "outputs": ["console", "file"],
    "file": {
      "path": "./logs/router.log",
      "maxSize": "100MB",
      "maxFiles": 10,
      "compress": true
    },
    "metrics": {
      "enabled": true,
      "interval": 60,
      "endpoint": "/metrics"
    }
  }
}

Health Monitoring

```bash

Health check endpoint

curl http://localhost:8080/health

Detailed health status

curl http://localhost:8080/health/detailed

Model availability

curl http://localhost:8080/health/models

Performance metrics

curl http://localhost:8080/metrics ## Erweiterte Funktionenjavascript // Custom request transformer const requestTransformer = { transform: (request, targetModel) => { // Modify request based on target model if (targetModel === 'gpt-4') { request.temperature = 0.3; // Lower temperature for code } else if (targetModel === 'claude-3-sonnet') { request.max_tokens = 4096; // Adjust token limit } return request; } };

// Response transformer const responseTransformer = { transform: (response, sourceModel) => { // Standardize response format return { content: response.content || response.message, model: sourceModel, usage: response.usage, timestamp: new Date().toISOString() }; } }; ### Plugin-Systemjavascript // Router plugin interface class RouterPlugin { constructor(config) { this.config = config; }

onRequest(request, context) { // Pre-process request return request; }

onResponse(response, context) { // Post-process response return response; }

onError(error, context) { // Handle errors console.error('Router error:', error); } }

// Load plugins const plugins = [ new CostTrackingPlugin(), new CachePlugin(), new RateLimitPlugin() ]; ### Caching-Systemjson { "cache": { "enabled": true, "type": "redis", "connection": { "host": "localhost", "port": 6379, "password": "${REDIS_PASSWORD}" }, "ttl": 3600, "keyPrefix": "claude-router:", "compression": true, "rules": [ { "pattern": "explain*", "ttl": 7200 }, { "pattern": "generate*", "ttl": 1800 } ] } } ## Sicherheit und Authentifizierungjson { "security": { "authentication": { "enabled": true, "type": "bearer", "keys": [ { "key": "router-key-1", "permissions": ["read", "write"], "rateLimit": 1000 }, { "key": "router-key-2", "permissions": ["read"], "rateLimit": 100 } ] }, "encryption": { "enabled": true, "algorithm": "AES-256-GCM", "keyRotation": 86400 } } } ### API-Schlüssel-Verwaltungjson { "rateLimit": { "enabled": true, "global": { "requests": 1000, "window": 3600 }, "perKey": { "requests": 100, "window": 3600 }, "perModel": { "gpt-4": { "requests": 50, "window": 3600 }, "claude-3-sonnet": { "requests": 100, "window": 3600 } } } } ### Ratenbegrenzungbash

Router not starting

  • Check port availability
  • Verify configuration file
  • Check API key validity
  • Review log files

Model connection failures

  • Test API endpoints
  • Verify API keys
  • Check network connectivity
  • Review rate limits

Performance issues

  • Monitor memory usage
  • Check cache configuration
  • Review routing rules
  • Optimize model selection ## Fehlerbehebungbash

Enable debug logging

DEBUG=claude-router:* npm start

Verbose logging

claude-code-router --log-level debug

Request tracing

curl -H "X-Debug: true" http://localhost:8080/v1/messages

Performance profiling

curl http://localhost:8080/debug/profile ### Häufige Problemejson { "performance": { "connectionPool": { "maxConnections": 100, "timeout": 30000, "keepAlive": true }, "compression": { "enabled": true, "level": 6, "threshold": 1024 }, "clustering": { "enabled": true, "workers": "auto" } } } ### Debug-Modusyaml

Kubernetes deployment

apiVersion: apps/v1 kind: Deployment metadata: name: claude-router spec: replicas: 3 selector: matchLabels: app: claude-router template: metadata: labels: app: claude-router spec: containers: - name: claude-router image: claudecode/router:latest ports: - containerPort: 8080 env: - name: OPENAI_API_KEY valueFrom: secretKeyRef: name: api-keys key: openai - name: ANTHROPIC_API_KEY valueFrom: secretKeyRef: name: api-keys key: anthropic ### Leistungsoptimierungyaml version: '3.8' services: claude-router: image: claudecode/router:latest ports: - "8080:8080" environment: - NODE_ENV=production - ROUTER_CONFIG=/app/config/production.json volumes: - ./config:/app/config - ./logs:/app/logs restart: unless-stopped

redis: image: redis:alpine ports: - "6379:6379" volumes: - redis_data:/data

volumes: redis_data: ```## Bereitstellung https://github.com/musistudio/claude-code-router##

Produktions-Bereitstellung

https://docs.claude-router.dev/##

Docker Compose

https://discord.gg/claude-router#

Ressourcen

https://youtube.com/claude-router- Claude Code Router GitHub