llm.tagger: cosine shortlist of the vocabulary's theme cards against a comment's already-indexed chunks (no re-embedding — text and vector come from langchain_pg_embedding), one yes/no judgement per candidate on the largest live host at temperature 0 with the scoring chunk as evidence, up to max_tags accepted with the shortlist similarity as confidence. State on the bib item (extra_json.llm_tags: vocab version, model, content hash, tags with evidence chunk, the full shortlist with verdicts) makes runs resumable; apply_tags replaces exactly the item's llm:* tags and never touches hand tags. Store.merge_extra merges top-level keys into extra_json. Every collaborator is injected so the pure pieces are tested without Ollama or pgvector. stack llm tag --docket D [--limit N] [--force] [--dry-run] [--top] [--max-tags] [--min-confidence] [--verbose]; _tagging_runtime wires the store, pgvector loader, card vectors, judge and model.
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1.1 KiB
title, sidebar_position
| title | sidebar_position |
|---|---|
| stack zot fix-fields | 84 |
stack zot fix-fields
Usage: stack zot fix-fields [OPTIONS]
Remap base-field rows to type-specific fieldIDs; drop orphans.
╭─ Options ────────────────────────────────────────────────────────────────────╮
│ --db PATH │
│ --hold --no-hold [default: hold] │
│ --help Show this message and exit. │
╰──────────────────────────────────────────────────────────────────────────────╯