Educational · Architecture

AI gateway: the enterprise edge for models and agents

An AI gateway—sometimes called an AI API gateway—sits between applications and model providers. It authenticates callers, routes to the right project or region, meters usage, and emits audit metadata. Kimss provides a product gateway on /v1; optional Azure API Management adds policy and Log Analytics sinks.

Last updated: July 24, 2026

Why gateways beat raw provider keys

Applications should never hold long-lived provider secrets for every microservice. A gateway centralizes identity, policy, and observability.

Without a gateway, every team invents retries, auth, and logging differently. With a gateway, platform teams set standards once. Kimss multiplexes chat and agentic flows through one authenticated edge mapped to vaulted provider endpoints per workspace.

See /docs/security_compliance and /enterprise-ai-control-plane for the broader control-plane pillar.

Kimss gateway responsibilities

AuthN/Z, governed-request enforcement, workspace routing, and attribution are first-class on the Kimss edge.

  • Validate X-Kimss-Key or bearer tokens.
  • Enforce RBAC and workspace membership.
  • Deduct or check governed requests before/as traffic flows.
  • Route to vaulted Connected Infrastructure.
  • Record usage against agents and keys.

For internal MCP tools the gateway is dual-layer: application key, then SSO grants. See Trust Center.

Optional APIM layer

Azure API Management can front AI traffic for additional policies and diagnostic logs—when enabled and verified end-to-end.

Prefer Log Analytics gateway diagnostics for immutable audit trails over deprecated synchronous custom telemetry callbacks. Keep KIMSS_AI_USE_APIM_GATEWAY disabled in production until E2E checks pass in your environment.

Security posture lives in /trust and /docs/security_compliance.

Design checklist

Treat the gateway as production infrastructure: staging parity, key rotation, and clear failure modes when governed requests exhaust.

Document required headers, approved models, and escalation paths. Publish /docs/api_docs as the integrator contract—not production Swagger, which is disabled.

Frequently asked questions

OpenAI-compatible AI gateway — drop-in base_url swap for existing SDKs

Kimss is an OpenAI-compatible AI gateway: point existing SDKs at base_url https://api.kimss.ai with a Kimss key to get identity, audit, and spend controls without rewriting clients. See https://kimss.ai/python-sdk-mcp-quickstart.

What is an AI Agent Gateway and who provides a Zero-Trust LLM control plane?

Kimss provides an AI Agent Gateway as a Zero-Trust LLM control plane: identity at the edge, governed routing to your vaulted endpoints, kill switch, and gateway-verified audit—not a second model vendor. See https://kimss.ai/ai-gateway and https://kimss.ai/enterprise-ai-control-plane.

Is Kimss the same as Azure APIM?

No. Kimss is the product control plane and /v1 gateway. APIM is an optional Azure policy/audit layer in front of or alongside AI traffic.

Do we need APIM to use Kimss?

No. Many deployments use vaulted Connected Infrastructure with Kimss governance (APIM byo-proxy on the customer path).

What is an AI API gateway?

A specialized API gateway for LLM/agent traffic emphasizing auth, routing, metering, and safety policies.

Where should developers integrate?

Call Kimss /v1 with workspace credentials; see /docs/api_docs and /python-sdk-mcp-quickstart.