Day 33 - March 13, 2026

Today is Friday, March 13, 2026. We have successfully shifted the project scope from a general Agentic system to a highly specialized Expert-in-the-Loop Relabeling Module, focusing on an In-Graph Reference System that leverages existing data points to create visual anchors rather than relying on external image uploads.

Executive Summary - The “Visual Anchor” Pivot

We redefined how reference images are handled to minimize storage and maximize contextual relevance.

New UI model: Reference images now live inside the scatter plot as top‑docked thumbnails instead of a separate gallery.
Dual-mode workflow: Introduced two modes:
- Reference Selection Mode - curate which points become reference images
- Relabel Mode - label points using the curated references

Key Achievements (Today)

1) In-Graph Reference System (State + UI)

Persistence architecture: Designed .state/references.json to store only image_id + layout coordinates, avoiding file bloat.
State machine: Defined switch between Reference Selection and Relabeling states.
Rendering on load: onMount now rehydrates stored IDs into visible thumbnails reliably.

2) UI Enhancements (Scatter Plot)

Added a reference shelf at the top of the plot (reserved Y-axis zone).
Implemented the promotion flow to morph a point into a reference image.
Planned collision detection logic to allow dropping points onto reference thumbnails, triggering label updates.

3) UX & Reliability Improvements

Prevented storage redundancy by referencing IDs instead of uploading/duplicating files.
Introduced a safe “Selection Mode” to avoid accidental workspace edits during relabeling.
Ensured the expert’s workspace state survives refresh via persistent JSON state.

System Architecture (Current Status)

Component	Responsibility	Status
State Storage	`.state/references.json`	✅ Logic Defined
Selection Mode	Toggle in Settings	🟡 Implementation Pending
Reference Shelf	Top-docked SVG container	🟡 UI Layout Pending
Image Resolver	Map ID → Local Path	✅ Core Logic Ready

Development Snapshot (Feature Work + Fixes)

Backend / Infrastructure

Added cached embeddings + endpoints: POST /workers/update, GET /workers/query, GET /workers (main.py).
Improved DB helper: safe pgvector registration + better error messaging (database.py).
Updated Docker Compose to mount host directory for persistent DB state.

Frontend (SvelteKit)

Built pages for worker updates and NL query (multiple +page.svelte).
Wired server proxies (/api/search, /api/dispatch) and added header nav links (+server.ts).

Docs & Repository Hygiene

Fixed README schema to use bio (matches seed script). Updated README.md and .env.example to use LOCAL_VAULT_URL.
Fixed Mermaid parse error in current-working.md sequence diagram.

Fixes & Verification

Added missing bio column via ALTER TABLE, re-ran seed_workers.py successfully.
Verified backend imports/startup (model loads once).
Confirmed frontend typecheck and production build pass.

Next Recommendations

Add schema migrations (Alembic) for reproducible DB state.
Add health-check endpoint reporting missing vector extension / embedding status.
Add lightweight API-key auth for vault endpoints before exposing publicly.
Optionally add embedding_updated_at column and surface it in the UI.

Feature Notes (Reference Image UX)

Image sizing: Reference photos are now 150×150 px with updated offsets/margins.
Visual link: Added blue dotted line from each reference image to the X-axis (drawn/removed with the image).
Persistence: Active reference IDs persist in localStorage and restore on refresh.
Removal UI: Added a red “X” close button to drop individual reference images.
Dynamic layout: Top margin adjusts automatically to prevent clipping.
Notifications: Fixed save flow to accurately display the reference count.

🔭 Suggested Next Enhancements

Add hover tooltip on the dotted line showing image ID + point coordinates.
Animate line/image entry+exit for smoother UX.
Add a settings toggle for image size and line style (persisted to user preferences).