LLM Proxy Multi-Provider Routing

Intelligently route requests across multiple AI providers based on cost, performance, availability, and capability. Maximize efficiency while minimizing costs with smart traffic distribution.

🔀 Smart Routing 💰 Cost Optimized ⚡ High Availability 📊 Real-time Analytics
📊

Live Routing Status

Active
G
OpenAI GPT-4
Latency: 245ms | Cost: $0.03/1K
45%
Traffic
C
Anthropic Claude
Latency: 198ms | Cost: $0.025/1K
35%
Traffic
G
Google Gemini
Latency: 156ms | Cost: $0.02/1K
20%
Traffic
1.2M
Requests/Day
$847
Daily Cost
99.9%
Uptime
215ms
Avg Latency

Multi-Provider Routing Features

Comprehensive routing capabilities for intelligent traffic distribution

🔀

Intelligent Routing

Route requests based on multiple factors including cost, latency, availability, and model capabilities.

💰

Cost Optimization

Automatically select the most cost-effective provider for each request while meeting quality requirements.

Performance-Based

Route to providers with the best current performance based on real-time latency measurements.

🛡️

High Availability

Automatic failover between providers ensures your application stays up even during outages.

🎯

Capability Matching

Route to providers that support specific features like function calling, vision, or long context.

📊

Real-time Monitoring

Track routing decisions, provider health, and performance metrics in real-time dashboards.

Routing Strategies

Choose the right strategy for your specific use case

⚖️

Round Robin

  • Distribute requests evenly across all providers
  • Simple and predictable distribution
  • Good for load balancing
  • Easy to understand and debug
💰

Cost Optimized

  • Always select the cheapest provider
  • Consider token costs per request
  • Maximum cost savings
  • Budget-aware routing

Latency Optimized

  • Route to fastest responding provider
  • Real-time latency measurements
  • Optimal user experience
  • Geographic awareness
🧠

AI-Powered

  • Machine learning-based routing
  • Predict optimal provider
  • Learns from historical patterns
  • Adaptive to changing conditions

Supported Providers

All major LLM providers integrated and ready to route

Provider Models Features Cost Range Avg Latency
G OpenAI GPT-4, GPT-3.5, GPT-4o Vision, Function Calling, JSON $0.01 - $0.06/1K 245ms
C Anthropic Claude 3 Opus, Sonnet, Haiku 200K Context, Vision $0.015 - $0.075/1K 198ms
G Google AI Gemini Pro, Ultra, Flash Multimodal, Long Context $0.00025 - $0.035/1K 156ms
C Cohere Command, Command-R RAG, Embeddings $0.015 - $0.05/1K 210ms

Configuration Example

routing_config.yaml
# Multi-provider routing configuration
routing:
  strategy: "cost_optimized"
  
  providers:
    - name: "openai"
      models: ["gpt-4", "gpt-3.5-turbo"]
      weight: 40
      priority: 1
      fallback: true
      
    - name: "anthropic"
      models: ["claude-3-opus", "claude-3-sonnet"]
      weight: 35
      priority: 2
      fallback: true
      
    - name: "google"
      models: ["gemini-pro", "gemini-ultra"]
      weight: 25
      priority: 3
      fallback: true
  
  rules:
    - condition: "tokens > 8000"
      route_to: ["anthropic"]  # Claude has 200K context
    - condition: "request_type == 'vision'"
      route_to: ["openai", "google"]
    - condition: "cost_budget_exceeded"
      route_to: ["google"]  # Cheaper option

Related Resources

Start Smart Routing Today

Implement intelligent multi-provider routing and optimize your AI costs while ensuring high availability.