Managed access vs enterprise gateway

KeepRouter vs Kong AI Gateway: hosted model access or gateway infrastructure

Choose KeepRouter when you want a hosted model-access service without operating an enterprise gateway or arranging each upstream provider integration. Choose Kong AI Gateway when your organization already runs Kong or needs self-hosted or hybrid deployment, centralized credentials, traffic policies, AI plugins, and governance for model, MCP, or A2A traffic. The products occupy different layers. [1] [2] [6] [7]

Last reviewed 2026-08-15 · Editorial review: KeepRouter Editorial

Short answer

Choose KeepRouter when you want a hosted model-access service with a focused API and catalog, without operating an enterprise gateway or arranging every upstream provider integration yourself. Choose Kong AI Gateway when your organization already runs Kong or needs self-hosted or hybrid deployment, centralized credentials, traffic policies, AI-specific plugins, and governance for model, MCP, or A2A traffic. These products occupy different layers. KeepRouter is managed model access. Kong is gateway infrastructure and a control plane. Compare operating responsibility and provider contracts before comparing endpoint syntax, because those two choices determine most of the implementation and ongoing work.

Decision table

Decision factorKeepRouterKong AI Gateway
Product categoryManaged model-access serviceEnterprise connectivity and governance layer built on Kong Gateway
Operating responsibilityKeepRouter operates the hosted serviceCustomer and Kong divide responsibility according to Konnect or self-hosted topology
Upstream providersUse the current KeepRouter catalog, credentials, and billing termsCustomer configures provider accounts, credentials, services, routes, and plugins
Policy surfaceUse documented KeepRouter key, model, endpoint, and service controlsAuthentication, access tiers, transformations, load balancing, prompt controls, and AI plugins
DeploymentHostedKonnect, self-hosted, hybrid, DB-less, and Kubernetes options vary by component
Best starting pointTeams seeking one managed model-access workflowPlatform teams already operating API infrastructure or requiring private topology

What Kong AI Gateway provides

Kong positions AI Gateway as a connectivity and governance layer built on Kong Gateway. It can expose provider-agnostic APIs, centralize upstream credentials, route and load-balance traffic, support streaming, apply authentication and access controls, and publish usage analytics. Konnect adds a managed control plane, while data-plane responsibility depends on the selected topology.

The AI plugin catalog extends the gateway with semantic caching, semantic routing, prompt guards, RAG injection, MCP Gateway, A2A Gateway, data governance, metrics, and request transformations. AI Proxy Advanced supports routing across multiple model targets, OpenAI-style formats, and selected provider-native pass-through patterns. Exact routes and capabilities depend on the deployed Kong version, plugin, topology, and license.

Kong is not automatically a managed model catalog or a single inference invoice. The official quickstart expects a Kong or Konnect environment, configuration tooling, and an upstream provider account with credentials. Its self-hosted example calls for an Enterprise license. Current pricing also separates base gateway packaging from paid AI plugins and model proxy limits.

When KeepRouter fits

KeepRouter fits teams that want to start calling available models through a managed service and do not want to deploy, upgrade, secure, and observe a gateway control plane. It reduces the initial decision surface when enterprise traffic policies, MCP governance, custom plugins, and provider account ownership are not requirements. A team selects a public model and documented route, then uses KeepRouter credentials and prepaid usage.

KeepRouter should not be described as replacing every Kong policy. If an application depends on gateway authentication, transformations, prompt guards, PII handling, semantic routing, custom plugins, or network topology controls, those responsibilities must remain somewhere after migration. Its public contract also does not provide a self-hosted distribution.

When Kong AI Gateway fits

Kong is relevant for organizations that already standardize APIs through Kong and want AI traffic governed in the same infrastructure. It also fits platform teams that require self-hosted or hybrid operation, centralized provider credentials, custom access policies, semantic routing, or governance across model, MCP, and A2A endpoints.

It is a less direct fit for a developer who wants one hosted API key without operating gateway infrastructure or holding separate upstream provider contracts. Even with Konnect, the team still has to decide the data-plane topology, provider credentials, model routes, plugin set, logging, upgrades, and license package.

Move from Kong AI Gateway to KeepRouter

  1. Inventory every Kong control plane, data plane, service, route, plugin, transformation, authentication rule, secret reference, and upstream provider.
  2. Separate model access from gateway policy. Only the model-access portion may move directly to KeepRouter.
  3. Map required models to the live KeepRouter catalog and compare the exact request contract. Kong model and route identifiers are not KeepRouter IDs.
  4. Identify policies KeepRouter does not document, including access control, prompt guards, caching, PII handling, request transformation, MCP, A2A, or custom plugins.
  5. Move those required policies to the application or another gateway before removing Kong from the path.
  6. Rotate credentials and confirm which upstream provider contracts can be retired. Test streaming, errors, tools, and every provider-native behavior still used.
  7. Shift traffic in stages and retain the Kong route until policy behavior, usage evidence, and billing are verified.

Move from KeepRouter to Kong AI Gateway

  1. Select Konnect, self-hosted, hybrid, DB-less, Kubernetes, or another supported topology. Assign control-plane and data-plane ownership.
  2. Confirm licensing for AI Proxy Advanced and every required AI plugin against the deployed Kong version.
  3. Create or verify upstream provider accounts, then store credentials through the chosen Kong secret mechanism.
  4. Configure Gateway Services, Routes, model mappings, authentication, load balancing, retries, and fallback policy.
  5. Add semantic routing, caching, prompt controls, RAG, MCP, or A2A plugins only when a documented requirement justifies them.
  6. Define logging, retention, monitoring, upgrades, incident response, and cost ownership for the gateway.
  7. Test provider-native and OpenAI-style routes against the actual topology, then run staged traffic and failure tests before cutover.

Capability boundary

Kong feature availability varies by version, plugin, deployment mode, and license. A capability listed in the plugin catalog is not proof that it is installed or licensed in a particular topology. Provider-native pass-through is limited to documented providers and formats. Gateway policy can centralize controls but does not remove upstream quotas, terms, model lifecycle, or regional availability.

A self-hosted Kong deployment and a managed API cannot be ranked for performance without a defined topology, resource allocation, network path, provider, and workload. They also have different cost centers. Kong infrastructure, license, and provider invoices are not the same ledger as KeepRouter prepaid usage.

Read managed versus self-hosted gateways before deciding who owns the runtime. Best AI gateways, model routing, and the evaluation guide help turn the remaining decision into a bounded test.

Frequently asked questions

Does Kong AI Gateway include model credits?

Do not assume it does. Kong is gateway infrastructure, and its official quickstart requires an upstream provider account and API key. Review current Kong and provider commercial terms separately.

Can Kong AI Gateway be self-hosted?

Kong documents Konnect, self-hosted, hybrid, DB-less, and Kubernetes deployment options. Exact plugin support, license, and responsibility vary by topology and version.

Does Kong AI Gateway require an Enterprise license?

The official self-hosted quickstart uses an Enterprise license, and AI Proxy Advanced plus several advanced plugins have paid packaging. Check the exact topology and plugin list against current pricing.

Is Kong a direct replacement for KeepRouter?

No. Kong can solve adjacent routing and governance needs, but it assigns gateway operation and upstream provider relationships to the customer. KeepRouter provides managed model access.

What must be rebuilt when leaving Kong?

Inventory authentication, access policy, transformations, prompt controls, caching, routing, observability, secrets, MCP or A2A policy, and rollback. A model endpoint replaces none of them unless documented.

Sources reviewed

Sources last reviewed 2026-08-15

  1. [1] Kong AI Gateway overview
  2. [2] Kong AI Gateway documentation index
  3. [3] Kong AI Gateway quickstart
  4. [4] Kong AI Proxy Advanced
  5. [5] Kong pricing
  6. [6] KeepRouter OpenAPI
  7. [7] KeepRouter models and pricing

Related guides

Choose the operating layer first

Separate managed model access from gateway policy, then compare only the responsibilities that both candidate architectures can actually own.

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