Set release boundaries for the article embedding search

Operational risks for the semantic search over support articles center on sending confidential article bodies to a third-party embed API without review, plus the earlier failure mode (comparing raw tokens without vectors, or dimension mismatch). Safety lives in executable gates, allowlists, redaction, and a named owner—not in a warning paragraph under an unsafe function.

function authorize(ctx: Context, action: Action) {
  if (!ctx.permissions.has(action.permission)) {
    throw new SafeError("forbidden");
  }
  if (action.risk === "write" && !ctx.approvalToken) {
    throw new SafeError("approval_required");
  }
}

Expected evidence: The query “reset password” returns the password-reset article first with a finite score.. A failed assertion means stop, investigate, and do not publish the article embedding search.

Name who can disable the feature, what data is retained, and how to roll back to the last known good artifact. Pin the reviewed configuration (versions, thresholds, allowlists) so “what shipped” is reconstructable for embedding-api-lab.

Write the release blocker as a predicate, not a feeling: “Do not ship the article embedding search if sending confidential article bodies to a third-party embed API without review.” Pair it with a passing control that shows the reviewed configuration still works for three short support articles + one gold query. Name an owner and a rollback handle (git tag, docs_version, previous image).

Security pages must not paste the happy-path demo. If your gate code looks like the implementation page, replace it with a deny/allow check aimed at sending confidential article bodies to a third-party embed API without review.

State the data retention rule in one line (what is stored, for how long, who can read it). Then state the kill switch (env flag, config pin, or feature owner). The article embedding search is not shippable without both, even when top-1 article id match on gold queries; similarity in [-1,1] looks healthy.

At the safety and operations stage for embedding-api-lab, the job is narrower than finishing a product demo. You are creating one progressive evidence piece about three short support articles + one gold query that later pages inherit without redefining success. Keep that fixture small enough to inspect by hand, keep outputs copy-pasteable as text, and refuse to narrate this baseline as if it were a production SLA: keyword overlap ranking on the same articles.

For this page specifically, success looks like an executable deny gate for the lab-specific threat while still centering the user decision to rank articles by cosine similarity to an embedded query. If you cannot point to a file, command, or assertion that proves that for the article embedding search, stay on this page instead of advancing.

Glossary: tool · Glossary: structured output · Cheatsheet: production ops signals

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