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Where to Begin

Agent Router serves evaluators, developers, and operators across three products that differ in tier and in where the data plane runs. Pick a starting point by product or by role; the two meet in the matrix below, which names the exact page to open for each combination.


Start by product

Every product ends with a working gateway and a first routed request. They differ in tier, the capabilities an account has, and in where the data plane runs.

Developers

Agent Router Service

Multi-tenant and hosted by Tetrate. Nothing to install.

Best for routing a first request in minutes, with no infrastructure.

Quick start →
Teams

Agent Router Enterprise, fully managed

Team-scale governance on a dedicated instance, hosted end to end by Tetrate.

Best for admin controls without running infrastructure.

Fast track evaluation →
Teams

Agent Router Enterprise, self-hosted data plane

Same controls and dedicated management plane, with the data path on self-managed infrastructure.

Best for teams that must keep data on their own infrastructure.

Quick start →

Not sure which fits? The tier comparison on the welcome page sets Service against Enterprise, and the flowchart under Still deciding? below walks the choice.

Start by role

Evaluator

Deciding whether it fits

Running a proof-of-concept or trial to answer what an organisation asks before it commits: data residency, cost control, integration effort, and scale.

Evaluate Agent Router →
Developer

Routing requests

Routing AI requests from an application or agent, managing API keys, setting fallbacks and traffic splits, aggregating MCP servers, and observing traffic through the Developer Console.

Guides for developers →
Platform operator

Governing the gateway

Provisioning models and providers, governing access, auditing usage, configuring SSO, and managing budgets across environments through the Admin Dashboard.

Guides for platform operators →

Your starting page

Find the role in the left column and the product across the top; the cell names the page to open first.

Role

Developers Service

Teams Fully Managed

Teams Self-Hosted DP

EvaluatorQuickstart: ExplorePrerequisites
DeveloperQuickstart: ExploreConsole quickstart
Platform operatorInstall data plane

Installation is a phase, not a role: usually the platform operator during setup, sometimes with a platform engineer who owns the Kubernetes cluster. The Enterprise columns above cover it. The Service tier is self-serve and has no operator role.


Still deciding?

The flowchart picks a path from the deployment constraints; the questions below are the ones that tend to decide it.

Flowchart for choosing between the three Agent Router deployment paths
  • Where does the data go? In Self-Hosted Data Plane deployments, AI traffic flows through a data plane in the customer's Kubernetes cluster: payloads, prompts, and credentials never leave the customer network. In fully hosted paths (Service or Fully Managed), Tetrate operates the data plane. See Deployment models for the split, the Architecture overview for the request path, and Compliance for residency and retention.
  • Can cost be controlled and predicted? Spend is tracked per team and per key, with budgets and rate limits enforced inline rather than reconciled after the fact. The Product overview frames the cost story, and the operator guides show it in practice.
  • How hard is integration, and is there lock-in? Applications target one endpoint using API shapes they already use, and providers can be added or swapped as a configuration change. Gateway APIs lists exactly what the gateway speaks.
  • Will it scale to production traffic? Sizing and scale covers throughput, resource sizing, and the deployment footprint.
  • What does running it actually require? Prerequisites lists what must be in place before installation on AWS, Azure, or GCP.

To run an evaluation end to end, see Evaluate Agent Router.


Where to go next