The app's new search screen keeps tags, type, date, camera and place as
chips and sends free text to the unified endpoint. For the AI to add to
those chips instead of replacing them, the endpoint now takes them:
- /photos/search/unified accepts the /photos filters explicitly (tag_ids
with All/Any, exclude_tag_ids, media_type, dates, camera make/model,
gps circle) plus a recursive `path`. Explicit tags are their own
predicate on top of the model's ANY-mode tags; single-valued filters
replace the model's guess. `interpreted` echoes only what the model
added, so the client doesn't show the user's own chips twice.
- interpret=false skips the LLM and uses q verbatim as the CLIP term,
which replaces the app's separate "Semantic" mode with a visual match
inside the user's filters.
- /image/tags/all also returns `cameras` (make + model with counts) so
the camera picker can offer e.g. "Nexus 6" directly.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Cameron CordesandClaude Opus 5.5
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