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Choose its intelligence

Choose a model that fits the job

Match each job to the provider, model support, latency, and cost profile your team prefers.

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Captured from the product Demo workspace
Compare the model routes your workspace can use by capability, provider, and cost.

What this changes for your team.

Available direct and routed provider options appear in one governed picker. What your team can use depends on current model support, organization policy, and a configured credential for that route.

How it works in practice.

  1. 01

    Browse enabled routes and compare the support disclosed for each model.

  2. 02

    Connect the provider key required by the route, unless the route is platform-managed.

  3. 03

    Save the selected route on the agent and verify it with a test run.

What you can plan around.

The behaviour you can design against, stated concretely.

Model identifiers include their provider route so similarly named models do not become interchangeable.

The server resolves a credential for the pinned provider before making a model request.

Catalog totals describe the current shipped registry and can change as providers add or retire routes.

Complete the operating path

View all capabilities
Choose its intelligenceTune models job by job

Use a deliberate model choice for every agent instead of forcing one workspace-wide default.

Choose its intelligenceRun on your provider account

Keep model usage on the provider relationship your organization already controls.

Build the agentBuild agents with AI

Turn a working brief into a reviewable agent draft without starting from a blank setup.

Bring one real process

See how Yekar.AI fits the way you work.

Start with a job your team already owns, plus the tools and decisions around it.

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