feat(ingest): split OCR into tier2 in-cluster (GPU, gateway-only) + tier3 upstream
Insert a configurable in-cluster OCR rung into the escalation ladder (Deck #353): a tier2-eligible doc is OCR'd on the on-demand burst GPU before falling through to paid upstream OCR. The in-cluster backend is reached ONLY via the embedding gateway (model prefix routes to the GPU over the tailnet) and is a config value (default surya/surya-ocr-2, swappable to e.g. lightonocr) — never hard-coded. Ladder: fast -> structured -> ocr-incluster -> ocr-upstream (queues ingest-ocr-incluster / ingest-ocr-upstream). - escalation.py: 4-tier ladder; in-cluster flag folded into the dead-letter signature. - ocr.py: OcrProcessor(name, tier, model_setting, gateway_only); build_ocr_backend( ..., model=, gateway_only=) — gateway_only forces the gateway backend (never the direct Mistral fallback), disabling the tier with a warning if no gateway URL. - registry.py: per-rung enable map; scanned docs target minimum="ocr-incluster"; inline path runs the cheapest available OCR rung. - procrastinate.py: two OCR queues; legacy ingest-ocr kept as a drain target. - config.py: DOCUMENT_OCR_INCLUSTER_ENABLED (off) + DOCUMENT_OCR_INCLUSTER_MODEL. - __init__.py: register the two OCR instances; vector/processor.py: pages_ocr metered for the upstream (paid) rung only; cli.py: new --tier choices + legacy drain. - metrics.py: zero the legacy ingest-ocr queue gauge during rollout. - tests: migrated to the split ladder + new tests (gateway-only forcing, per-tier model incl. lightonocr override, no-hard-coded-surya guard). 1792 pass; ruff + ty green. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Claude Opus 4.8
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@@ -29,6 +29,7 @@ pytestmark = pytest.mark.unit
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def _settings(*, ocr_enabled: bool) -> SimpleNamespace:
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return SimpleNamespace(
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document_ocr_enabled=ocr_enabled,
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document_ocr_incluster_enabled=False,
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document_tier1_engine="pypdfium2",
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get_collection_name=lambda: "c",
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)
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