Commit Graph

3 Commits

Author SHA1 Message Date
2835252bb3 assistant: recognise the API's other wording for a missing workspace id
The key-needs-a-workspace error arrived as 'must include the
anthropic-workspace-id header' and was reported as a bare 500 instead of
503 assistant_misconfigured naming the variable. Match the header name,
not the sentence around it.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KGcjxF1cNLcuwc3DAPcnfj
2026-09-19 13:36:45 +05:30
7021d5d2f5 The shop app gets its help panel, and its last two old screens catch up
Ask Behavision: a panel beside any screen that talks to the head-office
assistant as the signed-in user - setup questions and 'is my shop
working' answered by the same thing, without leaving the app. The
assistant's prompt now knows how the product is set up (installation
codes, adding a camera, what a placement verdict means, the model
download on first run), so it is the help and not only the analyst. A
PC running on its own has nobody to ask and gets the essentials as text.

Cameras and Customers were still on the pre-redesign markup - the add
camera drawer ran off the right edge of the window because it used a
class the new stylesheet never sized. Both are rebuilt: cameras as
picture-led cards with connection and 'proven' as two separate claims
and a placement check laid out as the two steps it is; the customer
record as a proper sheet.

mock.js renders the app in a browser with fake bindings
(?mock=fresh|standalone|claimed, dev server only), so a screen can be
put in front of somebody without a Windows build. It is how these were
reviewed.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01KGcjxF1cNLcuwc3DAPcnfj
2026-09-19 13:22:16 +05:30
dad04e8cda Behavision: face recognition for retail, edge to head office
Five components that ship as one product:

- behavision/  the recognition engine. RTSP ingest, YuNet detection, IoU
               tracking, ArcFace embeddings, a FAISS/SQLite gallery, and a
               FastAPI dashboard. Identity is decided once per TRACK from an
               average of at least three embeddings, never per frame.
- agent/       the Go edge agent: supervises the engine, holds a durable
               spool, and drains it to MQTT. Nothing is acked before the
               broker confirms.
- desktop/     the shop PC application (Wails + React + tray).
- server/      the cloud API, MQTT consumer, reports and assistant.
- web/         platform.loyaly.ai, the head-office app, embedded in the
               server binary.

The gallery stores 512-float embeddings and timestamps - no images unless
`app.store_faces` is switched on. Those embeddings are biometric personal
data under GDPR and India's DPDP: template inversion reconstructs a
recognisable face from an ArcFace vector, so data/behavision.db is treated
as a biometric database and DELETE /api/visitors/{id} is a real erasure.

CLAUDE.md carries the reasoning behind every non-obvious decision here,
including the ones that were measured and the ones that were wrong first.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01HViLj9gYNRtSr7YVZmW5sn
2026-09-04 11:14:18 +05:30