A reply read the session once at the start, so a message sent while it
ran was never seen, and the follow-up reply queued for it then finished
silently: the message was saved before the reply, so the thread ended
with the bot. Those messages went unanswered.
The text loop now reads new user messages after every round of tools and
before an answer goes out, and the bot decides from what each one means
whether it changes the work (folded in, or the unsent answer redrafted)
or is a separate request, which it acknowledges at once with the new
send_message tool and does after the current work. Messages sent that
way are marked interim, so the thinking row stays up while the bot
works. A reply job records the newest user message it read, and a queued
reply only stays silent when a finished reply already read everything.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Every bot message gets an info button that opens its details: the
provider and model behind it, tokens and cost, the job that ran it, each
model used and every call in order. Each model call now records how it
was made in token_usages.settings (generation settings sent, whose
settings they were, pinned or automatic model, fallbacks), shown per
model in the modal.
Live replies now carry their token usage, from the job's push and the
live relay alike, so it shows without a reload.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Nothing anywhere recorded what a model call cost: the harness used a
provider's usage numbers only to decide whether a turn had finished, then
dropped them. So a reply could not say what it took to make, one model
could not be compared with another on price, and there was no way to ask
what a day, a week or a month of the crew's work came to.
- `token_usages` records one row per call: user, bot, workspace, session,
job and message, the harness, the provider and model that actually
answered, the prompt and completion counts, and the cost when the
provider reports one.
- `harness-usage-scope.ts` carries those ids in an AsyncLocalStorage
scope that `run-bot-job.ts` enters once, so a run's turns, its session
summary, its transcriptions, images and embeddings are all attributed
without threading ids through every harness function. Nested runs merge
rather than replace, and a null genuinely clears a field (a bot's own
chat has no workspace).
- Work with no run behind it is charged to its owner instead:
`run-with-fallback-scope.ts` reaches the workspace's creator else the
bot's, and deliberately does not override a real run, so an ingest a
bot asked for is not misattributed to the bot's owner.
- All six harnesses record through `withCandidates`'s `on_success`.
Recording never throws: a model that answered must not lose its answer
to a failed insert.
- A job's calls land before its message exists, so `complete-bot-job.ts`
back-fills `message_id` once the message is inserted.
- The message's actions row shows what it cost, beside the timestamp and
the play button, with the breakdown in its title.
- `/admin/usage` totals the install's spending for 7, 30 or 90 days: the
total against the previous period, a day-by-day chart, a split per kind
of call, and a table per model with the price per thousand tokens
worked out from cost and tokens, which is what makes two models
comparable. Crew managers only, since it is the whole install's work
rather than one user's conversation. It sits with Routines and Activity
in the user popover rather than under Settings, because it is a record
of what happened, not something to configure.
Days are grouped in local time (`date(created_at / 1000, 'unixepoch',
'localtime')`), matching the local midnights the window builds and the
`YYYY-MM-DD` buckets it looks up. Grouping by the bare UTC day put a late
evening's calls under a name no bucket carried, so they vanished and the
chart's total silently disagreed with the totals card; a test pins it.
`canSeeRailItem` now decides who sees a popover or rail entry. The two
each filtered with their own inline rule and only one understood
`can_view`, so a gated page could be offered in the popover to everyone.
The thinking row and the header menu both carry Stop while a bot has work
open for the user anywhere: every pending or processing job of that bot in
their conversations is failed as stopped, its task closed, a Stopped step
recorded and one closing message posted per session, so the thread stops
waiting and the bot goes idle. The handler running the job is aborted from
this process through a registry, so a job stuck waiting on a model stops at
once instead of on its next heartbeat, and a late face change after the
abort is dropped.
The release stage is now said in the app too: Settings > General reports
"Cobble v0.1.5 (alpha)" next to development, and the README and RELEASING.md
say what alpha means for installs.
Scheduled runs are pre-approved: they carry out their brief instead of
drafting for confirmation. A run that can't do its brief calls
report_run_failed and is retried 5 and 10 minutes later; only then does
the user get one "failed after N tries" message, and the routine keeps
why in last_error.
Every reply and task now gets ActionCheckNote: look for an existing
record before creating one, and verify an action took effect before
saying it's done. Memory and instructions saves are read back, and
create_bot, create_schedule, start_task and delegate_task refuse
duplicates.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Replies were locked per bot, so a long reply in one session held up every
other session's reply with nothing shown. The lock is now per session. A
chat shows the thinking row whenever the user has the last word, rather
than from the bot's face (one per user, shared by every session), so it
shows even while the bot works elsewhere. A task waiting for its busy
computer says so, and a job finishing while another still runs puts back
the running one's face.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
A bot's face and status line live in bot_user_faces, one row per bot and
user, set by jobs for the user whose conversation they're in. Needs-you
and working only show to that user; every bot read overlays the viewer's
face (botFaceSql) and pushes go to the user a face change is for.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
Bots, workspaces and computers now belong to the install. Users reach
workers only through bot_users (assigned by a super admin or admin) and
workspace_users; the coordinator and main computer are one per install,
and only the super admin sees the coordinator. Conversations are per
user (bot_sessions.user_id), jobs run for the session's user, and live
updates go only to who should see them.
A bot's core memory is now general knowledge shared by every user it
works for; what it learns about a user lives in bot_user_memories.
One-off scripts move existing installs over: move-bot-memory-to-owners
(run first), then share-crew.
Co-Authored-By: Claude Opus 5.5 <[email protected]>
- Rail: Add icon with stacked form modals (bot, workspace, computer),
coordinator, recent bots with "See all bots", Workspaces section, and
a workspace mode listing only its crew
- Workspaces: page for context, bots (per-workspace instructions and
memory), computers (default, link, unlink), models and delete;
conversations scoped per bot per workspace
- Sessions: conversations split into searchable, reopenable sessions
with carry-over summaries; sessions and new-session header icons
- Computers: created and provisioned over the docker socket, home dir
kept at DATA_DIR/computers/<id> after delete; super admins only
- Models: workspace settings win over a bot's own, then the defaults
- Pictures for bots and workspaces; bots editable from the header
- Coordinator tools: update_workspace, set_bot_workspace_instructions
Co-Authored-By: Claude Opus 5.5 <[email protected]>
- Bots have a current computer (bots.computer_id), switched from the chat
header beside the model button or by clicking a computer the bot names
([computer:ID]); tasks run on it by default
- search_computers runs one read-only command on all of a bot's computers;
chat replies know their computers (compose-computers-note)
- The coordinator can use every computer and grants or revokes crew access
with assign_computer
- Delegated jobs record requested_by_bot_id; the worker's result or failure
is reported back in the coordinator's conversation
- bots_queue_updates records each model turn of a job, pushed live and shown
in the working-on panel
- Live relay: every process pushes new messages, job steps and bot changes
from the database to its own sockets, so work done elsewhere shows live
- Bot messages render as markdown (react-markdown + remark-gfm, no raw HTML)
with twui components; rail previews are plain text
- Fix header button overflow in the model and computer selects
- Bump @moduletrace/twui to 0.1.2
Co-Authored-By: Claude Opus 5.5 <[email protected]>
- Harness: providers, model catalog synced hourly, automatic free picks,
cooldowns, tool loop with context trimming, MCP computer tools
- Bots queue runs replies and tasks through the harness; jobs wait
(attempt refunded) while every model is resting
- Envs: Settings > Environment, scoped general/workspace/computer,
written to computers and redacted from tool output
- Models: Settings > Models, per-harness provider select defaulting to
OpenRouter, and a models modal on each bot's chat (the coordinator's
edits the defaults)
- Chat: thinking row while a reply runs, file attachments (upload,
paste, drop) that replies read as images, audio and document text
- Fix media uploads failing after a user's first file, and private
files being served from the public media path
Co-Authored-By: Claude Opus 5.5 <[email protected]>
- Schema: workspaces (+ workspace_bots, workspace_computers), containers,
computers, bot_computers, bots.memory, workspaces.system_prompt, and
bots_queue as a bun-sqlite isQueue table
- Main computer (and its container record) ensured with the coordinator on
signup, seed and /admin/bots; the coordinator's access to it is locked
- Effective computer access: direct grants plus workspace computers
- Full bot prompt: core instructions, workspace prompts, then memory;
bots can rewrite their memory and system prompt
- Queue helpers on the native BunSQLite.queue API, plus a handler that
heartbeats, serializes per computer, recovers after restarts, reports
lost jobs, supports cancelling and pushes outcomes over the WebSocket
- Enable SQLite foreign keys at startup so schema cascades fire
- Prune finished jobs daily
Co-Authored-By: Claude Opus 5.5 <[email protected]>
tbenandClaude Opus 5.5