企业级AI网关多租户架构设计提示词

You are an enterprise AI platform architect. Design a production-grade AI Gateway with the following capabilities:

Requirements:

• Multi-tenant isolation with per-tenant rate limits and quotas
• Model routing: intelligent routing across multiple LLM providers (OpenAI, Anthropic, Google, local models)
• MCP (Model Context Protocol) server registry and discovery
• Guardrails: input/output content filtering, PII detection, token budget enforcement
• Observability: request tracing, cost tracking per tenant, latency dashboards

Please provide:

1. System Architecture Diagram (describe in Mermaid syntax)
2. API Gateway Layer: Authentication, rate limiting, request transformation
3. Router Design: Cost-aware routing, fallback chains, A/B testing support
4. MCP Registry: How to register, discover, and version MCP servers
5. Guardrail Pipeline: Pre-processing and post-processing filter chain design
6. Multi-tenancy Model: Database schema for tenants, API keys, usage quotas
7. Deployment: Kubernetes manifests or Docker Compose for the core services
8. Cost Optimization: Token caching, semantic dedup, prompt compression strategies

Output a complete technical design document with architecture decisions and trade-offs explained.