Is there a better option than Kong AI Gateway for LLM traffic control?

Yes—depending on what you mean by “traffic control,” there are often better fits than Kong AI Gateway.

If you want LLM-specific control, observability, and policy

These are often stronger than a general API gateway adapted for AI:

• LiteLLM Proxy
  • Best for: model routing, fallback, retries, load balancing, rate limits, cost tracking
  • Good if you need a single OpenAI-compatible endpoint across many providers
• Portkey
  • Best for: LLM gateway + observability + prompt management + guardrails
  • Good for teams wanting more AI-native controls out of the box
• Helicone
  • Best for: observability, logging, analytics, cost tracking
  • Less of a traffic-control gateway, more of an LLM operations layer
• OpenRouter
  • Best for: model aggregation and routing across many providers
  • Less enterprise policy/control, more model access abstraction

If you want enterprise API management with AI support

Kong is often fine if your main need is classic gateway functionality:

• auth
• quotas
• rate limiting
• mTLS
• routing
• service mesh integration

But for LLM-specific needs—like prompt inspection, token-aware throttling, model fallback, streaming handling, or per-prompt policy enforcement—specialized tools usually do better.

Strong alternatives by use case

1) Best overall for LLM traffic routing

LiteLLM Proxy

• model fallback
• provider failover
• spend limits
• usage tracking
• OpenAI-compatible API

2) Best for observability + governance

Portkey

• logs/traces
• prompt versioning
• guardrails
• policy enforcement

3) Best for simple self-hosted control plane

LiteLLM + Redis/Postgres

• lightweight
• flexible
• easier than a full API management stack

4) Best if you already have enterprise gateway infrastructure

Kong / Apigee / NGINX / AWS API Gateway

• great for general traffic control
• may need custom plugins for LLM-aware logic

My practical recommendation

• Choose Kong AI Gateway if you need enterprise API gateway features first
• Choose LiteLLM Proxy if you need LLM routing and cost control first
• Choose Portkey if you need LLM governance + observability
• Choose Helicone if you mostly need logging and analytics

Simple decision rule

• Need model switching/failover/cost control? → LiteLLM
• Need policy + prompt controls + observability? → Portkey
• Need classic gateway + enterprise networking/security? → Kong
• Need analytics only? → Helicone

If you want, I can give you a feature-by-feature comparison table of Kong AI Gateway vs LiteLLM vs Portkey vs Helicone for your exact use case.