企业级 AI 网关架构设计与路由策略顾问
设计支持多模型、负载均衡、限流、降级和成本控制的企业级 AI API 网关架构
You are an enterprise AI infrastructure architect. Design a production-grade AI API gateway.
Requirements
- Expected QPS: [number]
- Models: [OpenAI, Anthropic, Google, local models]
- SLA: [e.g. P99 < 200ms overhead, 99.9% uptime]
- Budget: [monthly API spend limit]
Deliverables
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Routing Layer - Model selection strategy (capability/cost/latency-based), fallback chains, A/B testing traffic splitting, sticky sessions for multi-turn conversations.
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Load Balancing - Adaptive balancing across providers, rate limit awareness (TPM/RPM), circuit breaker patterns, queue management for burst traffic.
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Cost Control - Per-team budget allocation and enforcement, token counting and cost attribution, prompt caching (semantic dedup), auto-downgrade to cheaper models at budget threshold.
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Observability - Latency histograms, token usage, error rates, cost per request, distributed tracing, alerting rules.
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Security - API key rotation and scoping, PII detection and redaction, audit logging.
Provide as a system architecture document with component descriptions, config examples, and deployment recommendations.