LLM-Gateway
Definition
An LLM gateway is a central mediation layer between applications and one or more model endpoints.
It can consolidate authentication, rate limits, routing, logging, quotas, policies, and provider abstraction. The term is an architectural pattern, not a uniform standard.
Simply explained
Like a central entry point through which all model requests are controlled and forwarded.
Why it matters in practice
Relevant for multiple models, teams, cost control, and governance.
Example from business
All internal AI applications send requests through a gateway that controls model access, quotas, and telemetry.
Limits and pitfalls
- Viewing the gateway as a security guarantee; logging sensitive content unfiltered; single point of failure without resilience.
Origin & history
AI/LLM gateways apply established API gateway principles to model, agent, and tool access.
Use in mid-sized companies
- Possible application in SMEs: Consolidate central policies and provider access when multiple AI applications emerge.
Frequently asked questions
Is an LLM gateway strictly necessary?
No. Does it replace IAM? No.
Sources
- AI gateway capabilities · Microsoft Azure API Management, AI gateway capabilities
Sources verified on 10.10.2026.
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