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feat(labs): make the lab-scan limit operator-tunable
A self-hoster scanning a stack of lab reports ran into a fixed six scans an hour with no way to raise it. LABS_OCR_LIMIT_PER_HOUR now sets the per-user ceiling (default 6, clamped to 1-1000, falling back to the default when unset or not a number), the same shape as DOCUMENT_AI_LIMIT_PER_HOUR. It is on the compose whitelist, in the production example, the env manifest and the AI provider guide. The route also charged the slot before it had looked at the request, so a malformed body, an unsupported or oversized file, a PDF that could not be rendered or a scan the daily budget refused still used up the hour. Those failures hand the slot back now; a scan that reached the provider keeps it. The 429 carries meta.retryAt. Refs #985
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@@ -13489,8 +13489,10 @@ paths:
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provider; ≤ 12 MiB) is run through the user's vision-capable provider; the upload lives in memory only and is
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never persisted or logged. TEXT (`application/json`, opt-in local OCR): the browser OCR's the image
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(tesseract.js) and POSTs `{ mode: \"text\", text }` — only the extracted text reaches the server, so a text-only
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provider (e.g. ChatGPT-OAuth) reaches the same review/commit flow. Both modes are gated by AI consent, a 6/hour
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rate bucket, and the per-day token budget, and return proposed rows for the mandatory human review screen —
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provider (e.g. ChatGPT-OAuth) reaches the same review/commit flow. Both modes are gated by AI consent, a
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per-user hourly rate bucket (default 6, operator-tunable via `LABS_OCR_LIMIT_PER_HOUR`; a slot is only consumed
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when the scan reaches the provider, and the 429 carries `Retry-After`, the `X-RateLimit-*` triple and
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`meta.retryAt`), and the per-day token budget, and return proposed rows for the mandatory human review screen —
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nothing is written. Extracted content is treated as untrusted (prompt-injection); the review step is the safety
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boundary."
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requestBody:
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