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Choose its intelligence

Make model drift visible

Keep track of model availability and announced replacements.

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Captured from the product Demo workspace
See when a model cannot run and when a retired model moves to its announced replacement.

What this changes for your team.

Your agent uses the selected model. If that model retires, Yekar.AI uses its announced replacement and records the change. Missing credentials or a disabled model produce an error so your team can resolve the problem.

How it works in practice.

  1. 01

    Check the model selected for the published agent and any announced retirement replacement.

  2. 02

    Check organization policy, route availability, and provider credentials before the call.

  3. 03

    Review any model error or replacement notice, then test the agent after a change.

What you can plan around.

What to expect, including limits that matter to your team.

Retired models use their declared replacement from the same provider; these changes are recorded in the audit log.

Missing organization provider keys fail with an explicit not-configured error in production.

The failed run retains the pinned model context needed to diagnose the mismatch.

Complete the operating path

View all capabilities
Choose its intelligenceSet an organization model policy

Keep unapproved models out of new agent choices and execution across the workspace.

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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