5 Commits

Include renames

Author	SHA1	Message	Date
bvandeusenandClaude Opus 4.8	a94f6a2789	feat(ccip): matcher reads the incremental prototype store (#1317, m138 step 4) ... match_image now sources character references from character_prototype via a per-character in-process cache (_load_prototypes) that reloads ONLY the characters whose ccip_prototype_state.updated_at advanced — no request-path rebuild, so the per-accept ~4s stall is gone once the store is populated. Cold start (store empty pre-first-refresh) falls back to the legacy on-the-fly reference build, so character suggestions work immediately post-deploy and the background refresh populates the store within ~15 min. Match math + grounding are unchanged; existing tests exercise the legacy fallback, and a new test covers matching from the populated prototype store. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM	2026-07-06 16:21:38 -04:00
bvandeusenandClaude Opus 4.8	dfe2fda564	feat(ml): CCIP character matches ground to the matched figure region (#133 step 2) ... match_image now tracks WHICH query figure produced the winning cosine per character (argmax over the per-figure best-reference sim) and attaches its bbox as grounding {bbox,kind:'figure',detector}. SuggestionService carries it: a CCIP-only character hit grounds to its figure; a 'both' hit keeps the head's localized crop if it had one, else falls back to the CCIP figure — so corroborated characters stay grounded. Test: a character match carries the matched figure's bbox+kind. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CDgx8bQS5YrGRK76v8HUnM	2026-07-05 23:18:41 -04:00
bvandeusenandClaude Opus 4.8	b91a230f12	feat(ccip): automation + reference quality — keep identity flowing hands-free (#114) ... Works through the optional CCIP ideas + the "keep moving even if I forget" ask: AUTOMATION (no button needed): - Hourly beat auto-enqueues CCIP backfill — new images get embedded (and errored ones retried) on their own; the queue never goes idle waiting for a click. - CCIP auto-apply: a daily sweep tags confident matches (source='ccip_auto') so identity tags keep flowing. ON by default (opt-out, like head auto-apply); ml_settings.ccip_auto_apply_enabled + _threshold (0.92, above the suggest cut), migration 0064. Vectorized (one matmul + reduceat per image), reversible, skips already-applied/rejected. Switch + threshold in the GPU agent card; GET/PATCH /api/ml/settings; auto_applied count in /api/ccip/overview. REFERENCE QUALITY (the over-fire root cause): - character_references now draws ONLY from single-character images — on a multi-character image the tag is image-level, so every figure would otherwise pollute each character's prototypes (a 2-char image tagged 'Velma' made Daphne's figure a Velma reference). This is the contamination behind residual over-firing. - Cached on a cheap signature (char-tag count + ccip-region count/max-id) so the reference load isn't redone on every modal open. Tests: multi-character image not used as a reference; auto-apply tags a confident match as ccip_auto. NEXT (not done, confirmed): comic-panel cropping + SigLIP concept crops ("spot interesting content"). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa	2026-06-29 22:25:40 -04:00
bvandeusenandClaude Opus 4.8	625336b6b4	feat(ccip): tunable match threshold, default 0.85 (#114) ... Live data showed the v1 flat 0.75 cosine over-fired — ~64% of matched images got 3-10 character guesses dominated by the most-referenced characters (a 27-ref character clears a low bar on many images). A sweep showed 0.85 collapses the noise (noisy multi-matches 47→3) while keeping the confident single-character matches. - ml_settings.ccip_match_threshold (migration 0063, default 0.85); match_image reads it (override still accepted). DEFAULT_SIM_THRESHOLD fallback 0.75→0.85. - Exposed in GET/PATCH /api/ml/settings (validated 0.5–0.999). - Slider in the GPU agent card ("Character-match strictness") — tune live, no redeploy, same observe-and-tune loop as auto-apply. Test: a ~0.9-cosine figure matches at 0.85, dropped at 0.95. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa	2026-06-29 20:41:09 -04:00
bvandeusenandClaude Opus 4.8	d57ca847e7	feat(ccip): few-shot character matcher (#114 slice 5) ... The server-side brain that turns stored CCIP vectors into character suggestions — no GPU. character_references() gathers each character tag's prototype vectors (figure/face-region CCIP embeddings on images carrying that tag); match_image() cosine-matches an image's figure vectors against every character (multi- prototype: best over a character's examples), surfacing those above a tunable threshold as {tag_id, name, category:'character', score, source:'ccip'}, excluding already-applied characters. v1 = cosine on raw CCIP vectors; the exact CCIP metric/threshold gets validated against the model in the hands-on eval. Tests (synthetic vectors): same-character match across images, no-match for an orthogonal figure, already-applied exclusion, no-figure-vectors empty. NEXT: merge CCIP character suggestions into the rail; the agent container that actually produces the vectors (hands-on, GPU — not CI-verifiable). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa	2026-06-29 11:57:39 -04:00