rectangle-historyMulti-Provider Failover

Enterprise-grade high availability with automatic failover across multiple AI providers

Build resilient AI applications with automatic provider failover and redundancy


Overview

Multi-provider failover enables your application to automatically switch between AI providers when one fails, ensuring high availability and reliability. NeurosLink AI provides built-in failover capabilities with configurable priorities, conditions, and retry strategies.

Key Benefits

  • 🔒 99.9%+ Uptime: Automatic failover when providers are down

  • ⚡ Zero Downtime: Seamless switching between providers

  • 💰 Cost Optimization: Route to cheaper providers when available

  • 🌍 Geographic Redundancy: Distribute across regions

  • 🔄 Smart Retries: Exponential backoff with configurable limits

  • 📊 Failover Metrics: Track provider reliability

Use Cases

  • Production Applications: Ensure critical AI features never go down

  • Cost Optimization: Use expensive providers only when needed

  • Geographic Distribution: Serve users from nearest region

  • A/B Testing: Route traffic between providers for comparison

  • Compliance: Route EU traffic to GDPR-compliant providers


Quick Start

Basic Failover Configuration

Test Failover


Failover Strategies

Try providers in priority order until one succeeds.

2. Condition-Based Routing

Route to specific providers based on request conditions.

  1. Same priority: Both Mistral and OpenAI have priority 1, but conditions determine which one is used.

  2. GDPR compliance: Route EU users to Mistral AI (European provider) for automatic GDPR compliance.

  3. Regional routing: Non-EU users go to OpenAI. Multiple providers at same priority with mutually exclusive conditions.

  4. Universal fallback: Google AI (priority 2) has no condition, so it's used if both priority 1 providers fail.

  5. Pass routing metadata: Include userRegion in metadata so conditions can access it for routing decisions.

3. Cost-Based Routing

Try cheaper providers first, fallback to premium providers.

4. Load-Balanced Failover

Combine load balancing with failover.


Retry Configuration

Exponential Backoff

Selective Retry

  1. Retryable errors: Transient failures worth retrying. Network errors (ECONNREFUSED, ETIMEDOUT) and server issues (429, 5xx) often resolve on retry.

  2. Non-retryable errors: Client-side errors that won't be fixed by retrying. Invalid requests (400), authentication failures (401), and authorization issues (403) require code changes.

Custom Retry Logic


Provider Health Checks

Active Health Monitoring

Circuit Breaker Pattern


Production Patterns

Pattern 1: High Availability Setup

Pattern 2: Cost-Optimized Failover

Pattern 3: Geographic Routing

Pattern 4: Model-Specific Failover


Monitoring and Metrics

Track Failover Events

Failover Metrics Dashboard


Best Practices

1. ✅ Always Configure Multiple Providers

2. ✅ Use Health Checks in Production

3. ✅ Implement Circuit Breakers

4. ✅ Monitor Failover Events

5. ✅ Test Failover Regularly


Troubleshooting

Issue 1: Failover Not Triggering

Problem: Requests fail without trying fallback providers.

Solution:

Issue 2: Too Many Retry Attempts

Problem: Requests take too long due to excessive retries.

Solution:

Issue 3: Circuit Breaker Stuck Open

Problem: Provider marked as failed even when healthy.

Solution:


Feature Guides:

Enterprise Guides:


Additional Resources


Need Help? Join our GitHub Discussionsarrow-up-right or open an issuearrow-up-right.

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