Commit Graph
5 Commits
Author SHA1 Message Date
tben d9aea8e9c8 Record what every model call spends, and show it
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.
2026-10-23 15:41:41 +01:00
tbenandClaude Opus 5.5 ab25158d87 Give every user their own bot face
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]>
2026-10-19 13:58:26 +01:00
tbenandClaude Opus 5.5 e45d54d30b Share one crew across the install, keep user memory per user
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]>
2026-10-19 11:37:14 +01:00
tbenandClaude Opus 5.5 6a2665dae9 Add the harness, envs, per-bot models and chat attachments
- 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]>
2026-10-19 03:38:38 +01:00
tbenandClaude Opus 5.5 d49f524fe8 Add workspaces, computers, bot memory and the bots queue
- 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]>
2026-10-18 18:33:54 +01:00