Should I use a gateway to track latency and errors across providers?

Yes—if you use multiple model providers, a gateway is often the cleanest way to track latency, errors, and usage consistently.

When a gateway helps

Use one if you want:

• Unified observability across OpenAI, Anthropic, Azure, etc.
• Centralized request logging and trace IDs
• Latency/error comparisons between providers or models
• Retries, failover, or routing logic in one place
• Consistent metrics like p50/p95 latency, error rates, token usage, cost

Benefits

• Single integration point for your app
• Easier to debug provider-specific issues
• Better visibility into which provider/model performs best
• Can simplify billing and usage tracking

Potential downsides

• Adds an extra hop, so there’s a bit of latency overhead
• More moving parts: the gateway itself becomes a dependency
• If not well-designed, it can become a bottleneck or single point of failure

Good rule of thumb

• Use a gateway if you’re multi-provider, need routing/failover, or care about centralized monitoring.
• Skip it if you only use one provider and can instrument directly with your app plus provider logs/metrics.

Practical recommendation

If this is for production, I’d suggest:

1. Start with request IDs + structured logs + basic metrics in your app.
2. Add a gateway when you need provider comparison, failover, or cross-provider analytics.
3. Ensure the gateway emits:
   • latency by provider/model
   • error codes and retry counts
   • token/cost usage
   • request/response metadata
   • correlation IDs for tracing

If you want, I can also recommend a gateway architecture or compare gateway vs direct instrumentation for your setup.