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keydunovclaude
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docs: remove preview label from Evals (cube-js#11158)
Evals is now generally available, so drop the preview framing from the docs page: - Remove the opening "in preview / may change / contact support to activate" Warning callout. - Reword the Questions-tab Note to drop "While in preview". - Rename "Preview limitations" to "Limitations" and remove the support-activation bullet, since activation is no longer required. Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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docs-mintlify/admin/ai/evals.mdx

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@@ -3,14 +3,6 @@ title: Evals
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description: Benchmark your agent's answers against a known-correct ground truth and track accuracy across data-model and agent changes.
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---
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<Warning>
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Evals are currently in preview, and the user experience and file format may
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still change. Reach out to the [Cube support team](/admin/account-billing/support)
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to activate this feature for your account.
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</Warning>
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Evals let you benchmark your agent's answers against a known-correct ground
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truth, on any branch. You author a set of questions, each with the SQL or
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[certified query](/admin/ai/certified-queries) that represents the right
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<Note>
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While in preview, the **Questions** tab is a read-only view of these files. To
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add or edit questions, edit the YAML in the IDE — there's no in-product
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question editor yet.
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The **Questions** tab is a read-only view of these files. To add or edit
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questions, edit the YAML in the IDE — there's no in-product question editor
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yet.
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</Note>
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@@ -146,10 +138,8 @@ Verdicts:
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| **review** | Nothing to compare automatically — the question has no ground truth, or the agent didn't run a query. Compare manually. |
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| **error** | The agent run failed, the ground-truth query failed, or a referenced certified query wasn't found. |
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## Preview limitations
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## Limitations
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- Evals must be activated for your account by the
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[Cube support team](/admin/account-billing/support).
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- Questions are authored as code only; the **Questions** tab is read-only.
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- Very large question sets can be slow to run.
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- Grading is execution-based on the result set; it does not semantically judge

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