fix(inference): #86 tighten Call 1 prompt and closed lists

Ship locked expert Call 1 seed: order cats before edge, species=best
confidence, mill-count edge rules, Wild for cookies/burl, multi figure,
feature_tag_ids only (no free-text bags, no grade). LISTS keys match the
seed; feat- prefix stripped for the model. Gate and review UI apply
feature_tag_ids. Seed auto-activates on deploy when still seed-authored.

docs/contracts/API.md

@@ -144,9 +144,9 @@ block, and brand/geo context; no provider thread id and no raw Call 1 result. Re
 and never touches dimensions. Cites METADATA-55, METADATA-65.
 
 Call 1 result fields: `species_id`, `species_confidence`, `wood_category_ids`,
-`edge_type_term_id`, `figure_term_ids`, `figure_confidence`, `grade_term_id`, `grade_confidence`,
-`character`, `inclusions`, `voids`, `checks`. Free-text observations map to synced `feat-*` tags
-only.
+`wood_category_confidence`, `edge_type_term_id`, `edge_confidence`, `figure_term_ids`,
+`figure_confidence`, `feature_tag_ids`, `feature_tag_confidence`. Feature tags are ids from the
+synced `feat-*` set only (no free-text bags). Grade is never suggested.
 
 Call 2 result field: `description`. The name and short description are assembled by the server from
 the primary wood category's patterns, not returned by the call.

docs/contracts/PROMPTS.md

@@ -46,20 +46,23 @@ true; also on demand or retry. With inference off it is skipped and the fields a
 
 **Inputs.**
 - The clean processed photos at 1024 px long edge or less.
-- The synced taxonomy: species leaves, Edge Type, Figure, Grade, Thickness, Moisture terms, each
-  with its Woo id. These are the only legal choices.
+- Closed LISTS from the synced Woo cache only: `species`, `wood_categories`, `edge_terms`,
+  `figure_terms`, `feature_tags` (each with id + display name). Grade, thickness, and moisture are
+  not sent to Call 1.
 - User metadata: SKU, length, thickness.
 
 **Constraints.**
-- The model may only choose values from the supplied synced lists; it never invents categories or
-  terms.
-- Free-text observations (character, inclusions, voids, checks) are mapped to existing synced
-  `feat-*` tags only; Woo is authoritative for those tags.
+- The model may only choose values from the supplied LISTS; it never invents categories or terms.
+- Feature tags are returned as `feature_tag_ids` from the supplied list only. Display names omit a
+  leading `feat-` prefix; Woo remains authoritative for the tag set. No free-text observation bags.
+- Grade is never suggested (owner judgment).
+- Decide wood categories before edge type. Cookies and burl cuts prefer Wild edge when that term
+  exists in the list.
 
-**Result fields.** `species_id` + `species_confidence`; `wood_category_ids`;
-`edge_type_term_id`; `figure_term_ids` + `figure_confidence`; `grade_term_id` +
-`grade_confidence`; `character`, `inclusions`, `voids`, `checks`. Grade, edge, thickness, and
-moisture are singular.
+**Result fields.** `species_id` + `species_confidence`; `wood_category_ids` +
+`wood_category_confidence`; `edge_type_term_id` + `edge_confidence`; `figure_term_ids` +
+`figure_confidence` (multi allowed); `feature_tag_ids` + `feature_tag_confidence`. Edge is singular;
+figure and feature tags are multi.
 
 **Pre-fill.** At or above the threshold (default 0.7) the field is pre-filled and remains
 editable; below it the field stays empty and is not shown as a low-confidence guess. Typed values
@@ -110,11 +113,47 @@ application.
 The seed is the starting point for tuning, not a final text. Both calls are revised ad hoc through
 the §2 interface when UAT surfaces a miss.
 
-**`call1` seed.** Classify the slab's species, wood categories, edge type, figure, and grade from
-the supplied photos, choosing only from the supplied synced taxonomy lists, and return the result
-fields in §3 as JSON. Report a confidence for each classified field. Map free-text observations
-(character, inclusions, voids, checks) to the supplied feature-tag list only. Invent no category or
-term.
+**`call1` seed.** Shipped text in `backend/inference.py` (`CALL1_SEED`), mirrored here for review.
+
+You are a wood identification expert for retail lumber slabs. Judge only from the photos and the
+LISTS below. Use list ids only — never invent a name or id.
+
+Work in this order: (1) species, (2) wood categories, (3) edge type, (4) figure, (5) feature tags.
+Decide wood categories before edge type — edge rules depend on product form.
+
+For each field, pick from its list and give a confidence 0–1 (1 = certain, 0 = no idea). Prefer
+null or [] over a weak guess.
+
+Species — which tree species is this slab. Match grain, color, and figure to the species list. If
+more than one entry is plausible, return only the single highest-confidence match (one id). Null
+only when none are credible.
+
+Wood categories — product form / how it will be sold (live edge, dimensional, cookies & burl
+slices, turning blanks, etc.). Choose every wood_categories id that clearly fits; often one,
+sometimes more. [] if none fit. Finish this field before edge type.
+
+Edge type — the long-edge mill profile. One id from edge_terms, or null only if none fit.
+  Meanings (match the closest list name):
+  • Square / square edge — both long edges milled straight (2 milled long edges).
+  • Live one side / Live Edge 1 side — one long edge milled, the other natural bark or waney
+    (1 milled long edge).
+  • Live both / Live edge 2 sides — neither long edge milled; both natural (0 milled long edges).
+  • Wild edge — use when the three mill-count cases do not fit, including cookies and burl
+    cuts/slices (no conventional slab long-edge pair). Prefer Wild for those forms rather than null.
+
+Figure — visible figure in the wood (curl, quilt, spalt, plain, burl, …). Zero or more ids from
+figure_terms that clearly apply.
+
+Feature tags — defects and character marks the store tags for shoppers (knots, checks,
+inclusions, …). Zero or more ids from feature_tags. If that list is empty, return [].
+
+Return one JSON object with exactly these keys:
+{"species_id": <id|null>, "species_confidence": <0-1>, "wood_category_ids": [<id>,...],
+"wood_category_confidence": <0-1>, "edge_type_term_id": <id|null>, "edge_confidence": <0-1>,
+"figure_term_ids": [<id>,...], "figure_confidence": <0-1>, "feature_tag_ids": [<id>,...],
+"feature_tag_confidence": <0-1>}
+
+Runtime appends `LISTS:` (JSON of the five closed lists) plus SKU/length/thickness and the photos.
 
 **`call2` seed.** Write the long product description for the slab from the supplied photos and
 listing facts. The name and short description are already built, so do not repeat them. Use the