MAI Gateway - Enterprise LLM Governance and Cost Control

MAI Gateway transforms dispersed, uncontrolled model call consumption into a budgetable, attributable, auditable, and stably-running enterprise LLM infrastructure. Treat every token as a managed asset while balancing innovation freedom with cost control.

• One integration, multiple vendors, zero business code changes
• Unified OpenAI-compatible API interface decouples business logic from model providers - no vendor lock-in
• Centralized management of multi-brand LLM APIs including DeepSeek, Qwen, GLM, Kimi, MiniMax, Anthropic, OpenAI, and Google
• Self-controlled model launch with fine-grained permission management - assign visibility and call permissions by project or employee

• Centralized management of data center and cloud platform GPU computing power servers
• Real-time monitoring of GPU utilization with dynamic scheduling by business workload
• Supports NVIDIA H100, A100, and L40S GPU nodes
• 99% availability target for computing resources

• Production-grade call stability with intelligent routing in default, high-availability, and primary-backup modes
• Automatic failover on upstream timeout, rate-limit, or outage events
• Proactive link quality detection with auto-downgrade and self-healing recovery
• 7x24 monitoring with second-level switching - upstream fluctuations do not affect business continuity
• Complete call flow: App request, authentication, quota/budget check, intelligent routing, upstream model, metering/logging/response

• Key lifecycle management: create/bind, use/quota throttle, periodic rotation, offboarding revocation, and audit trail
• IP blacklist/whitelist and access frequency limits
• Idle, expiring, high-frequency, and high-consumption token detection with alerting
• LLM attack protection including prompt injection prevention, content filtering, and sensitive data desensitization
• RBAC permission matrix with Employee, Project Lead, Department Admin, and Auditor roles

• 4-level layered budgets: organization, department, project, and key with monthly budget and token ceilings
• Real-time millisecond-level validation for pass/reject decisions
• 3-level consumption alerts at 80%, 95%, and 100% thresholds
• Overrun handling options: throttle, block, or temporary expansion
• Month-end attribution with auto-generated reports by department, project, user, and token
• Visual dashboard showing real-time cost overview, remaining budget, alert counts, and circuit breaker counts

• Real-time dashboard tracking daily total requests, daily token consumption, interface failure rate (SLO target 0.10% or less), and anomaly events
• Trace ID full-chain detection capturing time, project, key, model, token, latency, and status for every call
• AI asset backup and management - eliminates black box operations with full traceability

• Internal/external isolation with unified exit through enterprise firewall
• Internal apps access MAI Gateway as single exit point; gateway connects to heterogeneous models externally
• Public network completely shielded with data desensitization and zero public network exposure
• Supports integration with Dify, custom AI platforms, enterprise knowledge bases, RAG systems, and AI workflow automation

MAI Gateway serves enterprise IT teams, finance and CFO teams, AI engineering teams, department managers, and compliance/audit teams deploying and governing LLM usage across the organization.