AI BriefingWoowahan Brothers Establishes LLM and Agent Governance Framework with AI Gateway and AI Studio
·2026.11.06 14:00
Key point
AI Gateway and AI Studio provide integrated management of LLM and Agent calls while controlling costs and security.
Details
- Built a governance framework by integrating LLM and MCP calls via a LiteLLM-based AI Gateway and automating requests and approvals in AI Studio
- Applied prompt caching to Project A, increasing the cache ratio from 5% to 97% and reducing the cost per request by 84%
- Agents use only MCP tools that have passed channel and user permissions and security reviews, and execute data queries with the permissions of the requesting account
- Separated AI Gateway and AI Studio into distinct AWS accounts and VPCs, and protected the platform itself through zero-downtime deployments and alternative model integration
- Costs are aggregated in real-time by the Gateway to send budget alerts, sensitive information is processed by an in-house self-hosted model, and PII guardrails are applied
- Plans include an Agent Registry, session cost limits, Agent-level authentication and authorization, expanded guardrails, and expanded automated approval scope
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