* chore: remove legacy orchestrator, trading and one-off script leftovers
The repository still carried the pre-evOo prototype: a Python orchestrator,
the old HTML "evoo-platform" cockpit (whose test ran in the root unit
suite), an apex-trading package, the hot-reload deploy.sh for it, a
permissions manifest, an architecture note with local file links, agent
handoff notes, a Steve Jobs persona template and about ninety one-off
scripts that probe a developer database with hard-coded local URLs. None
of it is used by the product, CI or the real deploy in ops/evo-deploy.
Delete those files, drop the evoo-platform test glob from the root vitest
config, the Cockpit section from .env.example and the dead biome and
gitignore entries, and update the docs that listed the removed tools.
scripts/start-tmux.sh no longer starts the removed sentinel and resolves
the checkout from its own location instead of a machine-specific path;
scripts/seed-ollama.ts requires DATABASE_URL instead of falling back to a
local URL with a username.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* fix(web): drop trading and persona prompts from the conversation shell
The web shell still showed leftovers from the trading prototype: composer
chips with German trading and "Steve Jobs" prompts, trading suggestion
chips under the empty conversation line, a German trading hero for the
empty transcript, and a German "data protection" status panel in the
sidebar. They suggested actions the product does not have and added
persistent chrome.
Remove the composer chips and their helper, the empty-state chips and the
hero (the empty conversation keeps its existing one-line start hint), the
sidebar trading indicator and the data trust panel. The new-bot E2E now
asserts the plain empty state; the sidebar spec no longer expects the
trading status, and the placeholder Steve Jobs spec with no assertions is
gone.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* refactor: remove the trading bot status integration
With the sidebar trading indicator gone, the only remaining consumer of
the trading bot status was a banner in General settings that reused the
same component. evOo is a personal assistant; a status proxy and poller
for one external trading service, configured through service-specific
TRADING_BOT_URL and VITE_TRADING_BOT_URL variables, does not belong in
the core product.
Remove the settings banner and its prop plumbing, the web poller, the
indicator component, the /api/trading-bot/status proxy, the shared core
contract, the env loading and both variables from .env.example, together
with their tests.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* chore: remove one-off database scripts and a stale review note
packages/db carried four hand-run scripts outside the package build that
query or seed a developer database with a hard-coded connection string,
one of them for a specific account. docs/VOICE-FIRST-REVIEW.md was a
one-time verification note for a workflow that no longer exists and
named private machines and local paths. Nothing references them.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(memory): remember appends dated notes instead of replacing memory
The remember tool rewrote the bot's whole MEMORY.md with each call, so every
new fact erased the earlier ones unless the model re-sent the full document.
- MemoryCommitRequest gains mode "append" (the store joins the note onto the
current content inside the same serializable transaction and still writes a
revision row) and every commit is capped at 16 KB per document.
- remember appends a dated bullet ("- YYYY-MM-DD: ...", the user's local date)
by default and rewrites only with mode "replace"; a full document returns an
error that tells the bot to condense it. Retries of the same tool call stay
single appends through the existing effect record.
- Scripted runtime memory entries can append too; the scripted "remember"
script now appends instead of overwriting the bot's memory.
- When memory does not fit the run's 32 KB budget, the prompt keeps a
document's newest lines instead of its oldest.
- memory.update maps an oversized save to BAD_REQUEST.
- docs/PRODUCT.md records that UserFact is the cross-space user model and the
space MEMORY.md stays space notes (no migration).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(coach): goals, habits, check-ins, daily briefs and check-in rhythm
The main agent should coach the user, but nothing stored what the user
wants to achieve or keep doing, and no routine ever checked in. This adds
the data model and the interfaces the onboarding intake and the coach
tools build on.
- Schema: UserGoal, Habit, CheckIn (one per habit, goal or day and date)
and DailyBrief, all keyed to the user's local calendar date, plus a
coachKey on Routine that marks the main bot's coach check-ins.
- Contracts (coach.ts): CoachRhythm, Goal, Habit, CheckIn, DailyBrief and
CoachToday DTOs and the RPC inputs.
- Repository (@rakazo/db coach.ts): goal, habit and check-in CRUD with
per-user limits, upsertDailyBrief and loadCoachToday with streaks in
the user's time zone.
- coach-rhythm.ts: setCoachRhythm/getCoachRhythm keep up to three main
bot routines (morning brief, evening check-in, weekly review) in the
main conversation in step with the user's chosen times.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(notifications): add push subscriptions, notification settings and web push interfaces
Push could only reach one mobile device per user (a token file), quiet hours did not exist,
and the web app had no service worker, so a closed tab never heard about finished work.
This lands the shared interfaces first so onboarding can build on them:
- push_subscriptions (web push endpoints and Expo tokens, one row per device) and
user_notification_settings (quiet hours as minutes in the profile time zone, nudges, a
per-day nudge counter), with CHECK constraints.
- NotificationSettingsSchema and web push contracts, notifications.settings.get/update and
notifications.webPush.config/subscribe/unsubscribe (owner-scoped, https endpoints only).
- getNotificationSettings/updateNotificationSettings plus the policy and nudge-cap helpers.
- VAPID keys from VAPID_PUBLIC_KEY/VAPID_PRIVATE_KEY or generated once and stored encrypted,
and an SSRF-guarded web push sender built on the web-push package.
- The web app links its manifest, registers a push-only service worker where supported (secure
context, not the desktop app) and exposes webPushSupported/webPushEnabled/enableWebPush/
disableWebPush.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* chore: replace machine-specific paths and addresses with placeholders
ORIGIN.md pinned the intended checkout to an absolute path under a
personal home directory, docs/LOCAL-SETUP.md listed folders on one
developer's machine, and two tests used what looks like a real tailnet
address. Use a home-relative path, drop the machine-specific folder list,
and use 100.100.100.100 in the tests; it is still inside 100.64.0.0/10,
so both tests check the same thing as before.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test(coach): repository, streak and rhythm suites
Covers what the coach interfaces promise before anything builds on them:
goal and habit ownership and limits, one check-in per habit, goal and day
dated in the user's time zone, streaks across weekends and weeks, and a
rhythm that keeps exactly one main-bot routine per check-in and is
idempotent when set again.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* refactor(contracts): share one clock-time schema
The coach rhythm and the quiet hours both parse "HH:MM" wall-clock times
and each defined its own ClockTimeSchema, which the contracts index cannot
export twice. Both now import it from one module.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(onboarding): ask the onboarding questions in the main conversation
The wizard asked for the account name again and a "Tell us about yourself" form, and the
focus answer in the main conversation was never saved. The main bot now gets to know the
user in the main conversation instead, one card after each answer.
- UserOnboarding keeps the pending step, the focus and when onboarding finished.
- onboarding-intake.ts declares the steps (focus, goal, rhythm, quiet hours, notifications)
as cards plus what their answers change; onboarding.ts commits an answer, the focus app
suggestions and the next card or the closing line in one transaction.
- The choice block gains a step, an optional text input and the typed answer; choose takes
the step, the text and whether the device can still turn push on.
- The focus answer becomes a goals fact; the goal, rhythm and quiet-hours effects and the
push seam are placeholders until the coach and notification modules are merged.
- The wizard drops the preferences step and fills time zone, locale and language from the
browser; the main bot's prompt notes open onboarding cards; agent history shows a card's
question and answer.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(notifications): fan push out to every device, honour quiet hours, add notify_user
Run notifications reached at most one phone and nothing could hold them back at night.
- PushNotificationProvider sends each notification to all of the user's registered devices
(web push and Expo), skips everything during quiet hours in the profile time zone, drops
devices the push service reports gone (404/410, DeviceNotRegistered), records lastUsedAt and
links each push to its conversation.
- Expo tokens move from DATA_DIR/push-tokens files into push_subscriptions: the API imports and
deletes the legacy files at start; notifications.registerPush/unregisterPush keep their
contract for the mobile app (tokens must look like Expo tokens).
- NotificationMessage gains the nudge kind, and the main bot gets notify_user: a short push to
the main conversation that respects the nudge switch, quiet hours and a cap of three per day.
It is withheld from shared messaging channels and from runs answering another owner's agent.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(coach): main-bot coach tools and goals in its prompt
The main agent had no way to record what the user wants to achieve or how
their day went, and its prompt never showed their goals or habits.
- update_goal, update_habit, log_check_in and write_daily_brief, main-bot
only and, like update_user_profile, withheld from shared channels and
from runs that answer another owner's agent. Goals and habits can be
named by id or exact title.
- The main bot's own runs list active goals and habits (with ids, done
state and streak) in the <user> block; the basics-only block and every
other bot never see them. The main agent role adds a short coaching
stance and names each coach tool only when the run has it, so the
check-in routine prompts stay tool-agnostic.
- The scripted runtime understands a few coach commands and the morning
check-in, so tests can drive the tools end to end.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* fix(web): use English Lingui sources for German UI text
Several web surfaces hard-coded German (the project card, roster and
activity status labels, the sidebar "Heute" label) or used German text as
the Lingui source message (sidebar sections, project timeline, bot picker,
voice entry, group stage, copy and read-aloud buttons). English users saw
German, and because production builds keep only message ids, none of these
strings could be translated per locale.
Convert them to English source messages, keeping the meaning:
- ProjectCreatedCard: Lingui Trans/Plural instead of literals.
- agent-activity: labels go through i18n._ with literal ids so the module
stays importable from plain unit tests; the extractor still collects them.
- Shell, ProjectSessionTimeline, bot-picker, StageVoiceEntry, OoStage:
English sources, reusing existing messages where one already fit
("just now", "{n}m ago", "Search", "No bots match", "Set up voice",
"Group conversation", "Transcript").
- The conversation picker matches its create entry against the translated
label instead of a fixed German string.
The German wording returns through the de catalog in the next commit.
Unit and E2E tests now assert the English labels.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(web): keep Lingui catalogs complete and in sync
The committed catalogs were last extracted weeks ago: about 330 source
messages were missing from every locale, and production builds keep only
message ids, so those strings rendered as hash ids (sidebar sections,
privacy settings, profile, timeline, ...). German also had 226 empty
entries, and every extraction rewrote the files because references carried
line numbers.
- lingui.config.ts: po references without line numbers, and a stable sort
that breaks Lingui's ordering ties (explicit ids, equal text) by id, so
the output no longer depends on file-system order.
- Re-extract all catalogs with --clean (drops 25-44 obsolete entries per
locale; no existing translation changed).
- Translate every German entry (du form, consistent with the existing
catalog). Other locales keep empty entries and fall back to English.
- i18n-catalog-sync.test.ts extracts into a copy of the catalogs and fails
when the committed files differ or a German entry is empty, so stale
catalogs fail the unit test job (offline, about 5 s).
Adds @lingui/format-po (already installed through @lingui/cli) as a direct
dev dependency to configure the formatter.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* refactor(memory): derive the run's memory budget from the document limit
The prompt budget was a separate 32 KB constant; it is now twice the
per-document limit, so a full bot document and a full space document keep
fitting if either number changes.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(profile): edit facts in place in About you
About you could only confirm or delete what the bots know about the user, so a
fact that was slightly wrong or filed under the wrong category had to be
deleted and taught again, and a fact could not be limited to some spaces from
the app even though the profile supports it.
- Each fact gets an Edit button that turns its row into an inline editor:
wording, category, and (when the user has more than one space, or the fact
is already limited) which spaces it shows in. Escape or Cancel leaves it
unchanged; only changed fields are sent through profile.update editFacts.
- A limited fact names its spaces next to its source.
- The repository validates edits like new facts: a wording whose normalized
form is empty or equals another fact of the user is refused, all edits of
one update apply atomically, and the stored embedding is only dropped when
the wording really changes.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(inbox): list and answer items from all of the user's spaces
The inbox in the main conversation only showed asks, approvals, takeovers and
unread threads of the current space. The main conversation lives in the home
space, so anything a bot needed in a project space never reached it.
- inbox.list now covers every space the user belongs to (except spaces being
deleted), still only the user's own bots, runs and threads. Items from
another space carry that space's id and name.
- The web inbox shows the space name next to the bot for those items, answers
them with that space's header so the existing thread procedures check
membership and ownership for that space, and opens their thread in it.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(coach): coach RPCs for goals, habits, check-ins, today and rhythm
The web app needs to show and change the user's coach data, and the
check-in times need a way to change after onboarding.
- coach.today, coach.goals.*, coach.habits.*, coach.checkIns.* and
coach.rhythm.get/set, owner-only and not space-scoped; another user's
ids read as not found, invalid input as a bad request.
- coach-rhythm reuses the shared clock-time helpers.
- Tests: an API suite covering ownership and validation for every
procedure, the coach tools driven through the main bot (and refused
for a specialist), and a morning check-in routine that fires in the
main conversation and writes today's brief; the unauthenticated
authorization sweep lists the new procedures.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(onboarding): save goal, check-in rhythm, quiet hours and push from the cards
With the coach and notification modules merged, the onboarding answers now take effect:
- the goal card creates a goal (source onboarding) through createGoal;
- the rhythm card sets the main bot's check-in routines through setCoachRhythm, and the
closing line names the first check-in from the routines that were saved;
- the quiet-hours card updates the notification settings;
- the choice card tells the server whether this browser can still turn push on, so the
notifications card is offered only there, and "Turn on" subscribes before answering.
The thread lock becomes NO KEY UPDATE so a rhythm routine, which references the thread, can
be written while the answer holds the lock. The goal answer is capped at the coach title
length. A Postgres suite walks the questions end to end: answers, skips, a dismissed card, a
stale and a doubled answer, another bot's focus card, and another user's access.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test(notifications): cover quiet hours, delivery, nudges and the notification RPCs
The quiet-hours CHECK accepted a row with only one bound set, because a NULL comparison made
the whole condition NULL; it now requires both bounds explicitly. The migration has not shipped
yet, so it is corrected in place.
- Unit: quiet-hours math across midnight, time zones and daylight saving; VAPID key handling
(configured, generated once and shared, invalid); the web push sender (encrypted VAPID-signed
request, gone on 404/410, no private or non-https endpoints); the fan-out with fake senders.
- PostgreSQL: settings and subscription repositories (constraints, per-user removal, endpoint
hand-over, device cap, concurrent nudge cap, cascade on account deletion), delivery and
notify_user against a real main conversation, and every notification RPC through the API
including cross-user isolation and endpoint validation.
- .env.example documents the optional VAPID keys and VAPID_SUBJECT.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(web): notification settings, and sign-out stops this browser's push
Users had no way to turn on push for a browser, set quiet hours or opt out of nudges.
Settings gains a compact Notifications section: a switch for push on this device (only where
web push works: a secure context outside the desktop app), quiet hours with from/to times
(22:00-07:00 when first turned on) and a switch for nudges. Changes save in order as they are
made. A browser that blocked notifications says so instead of offering a dead switch. Logging
out unregisters the browser first, so a shared computer stops receiving the account's pushes.
The E2E stubs the Push API (headless Chromium has no push service), walks all three controls,
checks they survive a reload and captures the notification-settings screenshot.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* fix(profile): keep the fact editor's Save label visible
Small buttons in ui-web merge their text-ui-label size over the default
variant's text color, so the small Save button rendered ink on ink. The
editor now uses default-size controls, with the category select at the same
height.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* refactor(notifications): keep the push sender contract next to the fan-out
The payload, target and outcome types are shared by the Expo and web push senders, so they now
live with PushSender in push-notifications.ts instead of in the web push adapter. The settings
E2E also stubs the Notification permission (headless Chromium reports it as denied even when
granted), and the quiet-hours inputs are wide enough for 12-hour times.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* fix(core): load child_process normally in the git checkout reader
readGitCheckout loaded node:child_process through require(), which does
not exist in the ESM API runtime. Linking a project space to a folder
that is a git checkout therefore failed after the space was created.
The lazy load is no longer needed: the reader is only reachable through
the server-only "@rakazo/core/git-checkout" subpath, never through the
package entry the web app bundles. Import spawn at the top instead.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(onboarding): ask before discovering projects and let the user choose
The onboarding scan started on its own, discarded what it found, claimed
to read email and calendars, simulated progress for everyone who could
not scan, and its project creation always failed (wrong Space fields and
a space lookup by title across tenants).
Discovery now asks first and creates nothing without a choice:
- The scan step appears only for the deployment owner when
ONBOARDING_SCAN_HOME is set; everyone else skips it. The simulated
scan is gone.
- It shows the folder and asks. Only directory listings are read: git
projects up to four levels deep, their languages and a few tools
(Docker, GitHub Actions, Terraform). Symlinks are never followed and
each chosen folder is resolved again before use, so nothing outside
the folder is reached. Results stay with the account that scanned.
- Found projects are a checklist (none preselected); found languages and
tools are facts (preselected). "Add" creates one project space per
chosen project with createSpaceForMember and wireProjectWorkspace in
the user's own organization, reusing the user's own space already
linked to that folder, and saves the chosen facts as onboarding facts
under the profile lock and fact limit.
- When a connection becomes connected (direct connect, authorization
round trip, or catalog reconciliation), "Uses <App>" is remembered as
a tools fact from the connector. Revoking keeps it.
The E2E harness now points ONBOARDING_SCAN_HOME at a fixture folder and
starts without a deployment owner, so owner-only onboarding steps appear
only in specs that take the seat through /__e2e/deployment-owner.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(web): coach on the Heute page
Heute only listed runs and linked to a hard-coded local Mission Control
address, so the coach's work had nowhere to show.
- Today's brief at the top, habits with a check-off and their streak,
and active goals, each only when there is something to show; then the
existing needs-you, doing and done lists.
- One icon button opens the check-in times (morning, evening, weekly),
loaded when opened and saved on every change.
- The page reads coach.today, refreshes it when a run finishes or the
tab becomes visible, and checks habits off optimistically; the date
header uses the user's time zone from the profile.
- Removes the Mission Control link and its constant.
- Tests: helper unit tests and a web E2E that writes the brief through
the main bot, checks a habit off across a reload and sets check-in
times (screenshots heute-coach and heute-rhythm).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test(onboarding): walk the onboarding questions end to end; mobile reads cards as text
- onboarding-intake.spec walks focus, goal (after typing into the composer, which still
works), check-ins, quiet hours and the notifications card when the browser offers it,
with the onboarding-intake-goal, -rhythm and -done screenshots.
- completeOnboarding and the wizard specs drop the preferences step; the scan step is
optional (skipped when it asks, otherwise it advances by itself).
- The user-profile spec now checks the browser-filled profile and the focus fact; the
conversation spec checks the shorter app suggestion and the following goal question.
- The hover spec measures a reply that fills its row (a bot row's rail sits at the row's
end, so the old long onboarding line was what made it pass) and scopes Send to the
composer, since an open goal card has its own.
- Mobile shows a choice card as its question and answer instead of an empty bubble.
- The focus options drop their unused summary.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test(web): stub the Notification permission without a static-only class
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test(web): find the sidebar Today button by its English label
The shell contrast test added on main looks up the sidebar button by the
old German source text, which this branch replaces with "Today".
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(onboarding): show the onboarding cards and check-in names in the user's language
The onboarding cards, the closing line and the coach routine names were English server text
for every user. The server keeps the state and an English fallback; the web now words them
through Lingui, so there is one translation source.
- Choice cards: the web says the question, the option labels and the placeholder from the
step and option ids, and keeps the server text for anything it does not know (quiet-hour
ranges are already written in the user's locale). Another bot's focus card is recognized
by its option ids. Mobile and agent history keep the server text.
- The "Got it. … are a good place to start." line is gone: the app cards speak for
themselves, and with no cards nothing is said.
- The closing line becomes an intake_note block (note "done", nextCheckInAt, English text).
The web words it with the first check-in in the user's clock; mobile blockText and
blocksToAgentHistoryText read its text through their generic fallback.
- Routines carry coachKey. The routine list and editor show a check-in under its label in
the UI language until the user renames it; saving an untouched label keeps the stored
name. The English names move to contracts (COACH_ROUTINE_NAMES); prompts stay English.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* style: use top-level type imports in the coach changes
AGENTS.md asks for top-level `import type` instead of inline `type`
specifiers; this applies it to the import statements the coach work added
or changed.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* chore(web): extract catalogs and translate the coach strings to German
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test(web): look for the bot reply in the transcript only
The main conversation's sidebar row now previews the latest reply, so the
unscoped text lookup matched the sidebar too and failed in strict mode.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test(web): drop the trading status from the shell contrast test
main's contrast test now waits for the sidebar trading status before
measuring; this branch removes that status.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test(onboarding): link the foreign folder while its tenant owns the deployment
Since #112 only the deployment owner can link a host folder, so the
discovery test creates the other tenant's linked space while that tenant
holds the deployment, then hands the deployment to the scanning owner.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* chore(web): extract catalogs and translate the in-app browser strings
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test: look up the home main conversation in the scheduling journey
Since every project has its own main conversation, the journey that
schedules for a specialist found the user's main conversation with
findFirst over all of them. With the Lab project's conversation also
matching, it picked either one, so the check failed about one run in
three. The lookup now names the home space, where the specialist joined
and the routine is created.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test: expect the home main conversation's ask in another space's inbox
Every project now has a main conversation of its own, so an ask waiting in
the home main conversation is not visible from a project and its inbox
lists it, answered in the home space.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* fix(coach): move check-ins when the user's time zone changes
The coach check-ins are main-bot routines scheduled in the profile time zone, but a later
zone change (About you, onboarding, the main bot's update_user_profile tool, or forgetting
the whole profile) left them in the old zone until the rhythm was saved again, so they fired
at the wrong local time.
syncCoachTimeZone, next to the rhythm code, moves the main bot's coach routines that are not
in the current profile zone into it, recomputes the next run of armed ones and re-arms their
wakeup. Paused check-ins move but stay paused, routines the user made are never touched, users
without check-ins get none, and a save that leaves the zone as it is changes nothing. The
profile update and forget RPCs and the profile tool call it whenever they write the zone.
Quiet hours, the daily nudge cap and coach dates are evaluated in the profile zone when they
are used, so they need no migration.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* fix(web): word the main conversation preview in the user's language during onboarding
While onboarding wrote the main conversation, its sidebar row, project rows and Heute showed the
server preview: nothing for a pending card (a card has no text of its own, so the row fell back
to "Ready") and the English fallback of the closing note, even for a German user.
Groups now carry `previewBlock` next to `preview`: the latest message when it is an onboarding
card or note, validated with the same block schemas the messages use (now named exports). The
web words it with the helpers that render the card and the note, so no copy is duplicated: the
question while a card waits, the answer once given, and the closing note in the user's language
and clock. A dismissed card keeps the plain preview, as the conversation no longer shows it.
The field is left out for every other message, and mobile keeps using the plain `preview`.
The chosen-answer lookup moves from the card into onboarding-copy so the card and the preview
share it.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test(web): look for the focus question in the conversation, not the sidebar
The main conversation's sidebar row now shows the pending intake question,
so a page-wide text match finds it twice (strict mode) or never reaches zero.
The specs mean the card in the open conversation, so they look there.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
---------
Co-authored-by: Claude <noreply@anthropic.com>
Each project (space) now has a main agent and a main conversation of its
own. The user talks to it, and it delegates to the project's specialists.
Creating a project sets both up and opens the conversation, and deleting
an otherwise empty project removes them with it.
Claude-Session: https://claude.ai/code/session_01R8hSsKTB3W3e61wD6kvzur
Co-authored-by: Claude <noreply@anthropic.com>
* feat(db): main agent, main conversation, user model and delegated task foundation
The product needs one main agent that leads a main conversation, knows the
user across spaces, and hands work to visible specialists. Today none of
that exists in the data model: "Chief" is a client-side naming convention,
the "Hauptthread" is a group the web client creates by name, and nothing
stores what the agents know about the user.
This adds the shared foundation the Phase 1 features build on:
- Bot.kind ("main" | "specialist", one main bot per user) plus capability
fields (tags, builtin tool allowlist, model tier).
- ChatGroup.kind ("group" | "main", one main conversation per user) and
ChatGroup.leadBotId.
- UserProfile and UserFact with category, confidence, source, consent
status and per-space visibility; embeddings are stored as float arrays
because none of the Postgres images ship pgvector.
- DelegatedTask for work the main bot hands to a specialist.
- SpaceModelTier to map a model tier to a connected model per space.
The migration backfills each user's onboarding bot in the home space as the
main bot and turns an existing "Hauptthread" group containing it into the
main conversation. CHECK and foreign key constraints on existing tables are
added NOT VALID and validated in a separate migration, as elsewhere in this
repo.
New db helpers ensure the main bot and the main conversation (idempotent and
race-safe, repairing a lost lead), add same-space specialists to the main
conversation and announce it with a group.updated event, and load the user
context a run may see. The main conversation is exempt from the two-member
floor and cannot have its members replaced through a group update. The
contracts expose the new fields and the user model and delegated task
schemas.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(adapters): every run knows who it is and who the user is, in the user's time zone
Runs dropped the bot's name, title and description whenever custom
instructions existed, always stated the time in UTC, and knew the user only
through free-form durable memory. Groups with a lead, like the main
conversation, still got the peer-group lines that forbid handing work back.
And every group follow-up run failed during setup: the inbound handoff lookup
selected a `bot` relation that Message does not have, which Prisma rejects.
- Instructions now open with the bot's identity, then its own instructions,
a main-agent role paragraph for the main bot, the current time in the
user's time zone with its offset (UTC when unknown), and a `<user>` block
built from loadUserContext: profile fields and the active facts visible in
the run's space, escaped, clipped and framed as data rather than
instructions. Runs that reply in a shared messaging channel get only the
name, zone, locale, language and style, matching how those runs already
leave out durable memory.
- run_subagent helpers receive the identity, time and user block through a
new optional AgentRunRequest.subagentContext instead of nothing.
- Groups with an active lead get lead and specialist lines and matching
inbound handoff instructions. Members may hand a stage back to the lead and
the lead may delegate the next stage; the bounce rules still apply between
members. Ordinary groups keep today's lines.
- The teammate directory is rendered only when the run has message_bot, which
group runs never have, and tool guidance names a tool only when the run has
it.
- The auto-review judge, history compaction and the team chat judge read the
time in the user's zone, and schedule_create defaults to it.
- The inbound handoff sender is read from the handoff block and looked up
among the user's bots; a Postgres test covers the follow-up run, the prompt
it receives, and handing the result back to the lead.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(memory): learn the user profile from conversations; add built-in semantic memory
Why: the user profile only knew what onboarding wrote, so people had to repeat themselves,
and semantic recall needed a hosted or separately run memory service. The profile now grows
from everyday conversations, and recall can run on the user's own server with a local
embeddings endpoint (for example llama.cpp). Both stay optional and are tested offline.
What:
- adapter-kit: EmbeddingProvider contract (describe, embed) and the profile.consolidate job
(payload schema and a replace-keyed job factory, one pending job per user).
- adapters: OpenAI-compatible embeddings (POST {baseUrl}/embeddings through the guarded
OpenAI-compatible fetch, batching, bounded responses, clear errors), a deterministic
emulator, an in-process /v1/embeddings server emulator, and a shared conformance suite.
- adapters: "builtin" semantic memory stored in Postgres (semantic_memory_items with Float[]
embeddings, cosine ranking in process, bot/shared/history scopes matching the existing
providers), registered in the memory provider factory and configured through
memory.connectProvider with an embeddings URL, model and optional API key. Private
endpoints require the deployment owner, like the other local memory providers.
- adapters: profile consolidation reads the user's settled app conversations since
UserProfile.consolidatedAt (never messaging channels), asks the main bot's model for strict
JSON facts and an updated summary, drops restatements (embedding cosine when built-in
memory is configured, normalized text otherwise), stores sensitive categories as pending,
and advances the cursor with a compare-and-set. A reconciler hook enqueues it at most daily
per active user; it skips under the scripted runtime and without a usable model.
- db: additive migration 20261002210400_ws4_semantic_memory.
- web: a "Built-in" option in Memory settings; AI data sharing names the embeddings server.
Tests: new embedding conformance, OpenAI-compatible wire, built-in provider and consolidation
unit tests; new Postgres suites for built-in memory (including a real loopback embeddings
server through the memory provider resolver) and for consolidation and its scheduling query,
both added to the integration harness. The settings E2E spec now opens the new form.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(models): map model tiers per space and let bots and helpers ask for one
A space can now map the tiers fast, standard and code to connected models,
including several models served by one OpenAI-compatible router endpoint
(one credential, many model ids). A bot can ask for a tier, and a single
run_subagent call can ask for one. A tier with no model mapped falls back
to the usual model choice, so nothing breaks before tiers are set up.
- db: SpaceModelTier repo (list, find, set or clear); tier mappings are
copied into a new space like model and voice preferences; createBot
carries a tier, so duplicates keep it and spawned bots inherit it.
- contracts/api: models.tiers.list and models.tiers.set;
models.probeOpenAiCompatible can list a connected server's models by
credential id with its stored address and key; bots.update accepts
modelTier and keeps a pinned model and a tier mutually exclusive, so a
model picked on a surface that knows no tiers (mobile) is never silently
overridden. Thinking-level validation follows the tier's model. AI
consent status discloses tier models; desktop local settings allow the
tier procedures.
- adapters: selectConfiguredModel runs a mapped tier ahead of the pinned
model and the space default; the executor resolves bot tiers for runs
and model lookups, and helper tiers through resolveModelTier.
run_subagent takes model_tier; an explicit model wins over it.
- web: a collapsed Tiers section in model settings (shown once a model is
connected) and mapped tiers as choices in the bot Model select.
- docs: tiers in self-host model setup.
- tests: resolution order and fallbacks (selection, executor, Pi helper),
repo, API and contract units, authorization and offline Pi Postgres
suites, and a model-tiers web E2E spec.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* fix(adapters): state the consolidation time in the user's zone; name the memory migration after its content
Profile consolidation now passes the profile's time zone to the shared time
instruction, which takes the zone since every run states the time in the
user's zone. The semantic memory migration is renamed after what it creates.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* fix(adapters): keep the user's summary and facts out of replies to other owners' agents
An agent connection wakes a bot with another owner's message, and the reply
goes back to that owner. Such runs now get only the basics of the user block
(name, time zone, locale, language, style), like runs in shared messaging
channels, so confirmed facts such as health never reach another person's
agent.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(profile): readable, writable and forgettable user model
The main agent is meant to know the user, but nothing could read or change
the user model the foundation added. Onboarding pasted the user's answers
into the first bot's instructions as a "User Context" block, and the user
had no way to see or remove what their bots knew about them.
This makes the user model a user-controlled resource:
- db: a profile repository scoped by user. One atomic update writes the
account name, profile fields, new facts (deduplicated by normalized
text, capped per user), fact edits including per-space visibility, and
confirmations. Health and values facts wait for confirmation unless the
user wrote them. Forgetting hard-deletes facts by id, category or all,
clears the summary that may restate them and marks earlier chats as
consolidated so they cannot teach them again; forgetting everything also
clears the profile fields. Writes take a per-user advisory lock.
- api/contracts: profile.get, profile.update and profile.forget. Unknown
fact ids are a 404 on update and ignored on forget; spaces outside the
user's memberships are rejected.
- adapters: an update_user_profile tool for the main bot only, hidden from
specialists and shared messaging channels and refused if called anyway.
Facts carry source "conversation" and the bot, thread and message they
came from. The scripted runtime records "learn about me: [category:]
statement" for tests.
- web: onboarding writes the name, time zone (browser default, now
prefilled and editable), locale, chosen language, communication style
and the hobby and work-style answers to the profile instead of
overwriting the bot's instructions, and the harvested memory section no
longer repeats them. A new "About you" settings section lists profile
fields and facts by category with their origin, confirms pending facts,
and forgets one fact or everything.
Tests cover the contracts, the repository (unit and PostgreSQL), tool
selection and refusal, the scripted trigger, the onboarding mapping and
view helpers, an API suite that runs the tool through the executor with a
real main bot, authorization for the new procedures, and an E2E spec.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(delegation): main bot hands work to specialists as tracked tasks
The main agent had no way to give a specialist a piece of work and keep
track of it. message_bot is a fire-and-forget peer message whose work stays
hidden from the user, and handoff_to_bot ends the main bot's turn and only
works between members of one group. Delegation now runs the specialist's
work where the user follows the main agent and brings the result back so
the main agent can close the task.
- delegate_task({bot, title, brief, deadline?}) is offered to the main bot
only and refused unless the caller leads the main conversation. It
resolves the specialist by id or name across the user's spaces, creates a
DelegatedTask and posts a task card in the main conversation.
- A specialist from the main conversation's space joins it and works there
in a run with the new trigger "delegation", which the peer filters do not
hide, so its progress, asks and approvals appear in the main conversation
with the specialist as sender. A specialist from another space works in
its own chat; its written result is posted into the main conversation as
its message.
- The executor mirrors the run on its task (running, waiting, done, failed,
cancelled) after the run starts and when each attempt ends, and updates
the card in place through thread.message.updated. Done and failed tasks
wake the main bot in the main conversation with the result. The job
reconciler settles tasks whose run ended without the executor (stop,
clear, archive, deletion, crash).
- tasks.list({threadId?, status?}) returns the caller's tasks for the
current space.
- The task card shows who, what and status with Lingui labels; the brief
opens on demand. The message_bot card no longer shows the recipient's
unrelated overall status or hard-coded German copy.
- The scripted runtime understands "delegate to the bot named X: ..." and
the task wake prompt; activity rows name delegation runs by task title.
Tests: unit tests for the prompts, status mapping, card, reducer, tool
selection and scripted runtime; a Postgres suite for same-space, group,
other-space, ask and answer, failure, stop and replay; tasks.list in the
authorization suite; and an end-to-end spec for the whole flow.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* fix(adapters): show the main agent the specialists it can delegate to
The main conversation is a group run, and group runs no longer list the
teammate directory, so the main agent could not see the names of the
specialists delegate_task expects. Runs that have delegate_task now list
the user's specialists across the spaces they belong to, those next to the
conversation first and others marked with their space, and that list
replaces the teammate directory so no bot appears twice. It also says when
to prefer delegate_task over handoff_to_bot.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(inbox): show what specialists need from the user in the main conversation
Specialists ask questions, request approvals and the computer screen in
their own threads, and the user only finds out by opening each thread. With
the main conversation as the single entry point, those requests have to
reach the user there, with the specialist as the visible sender.
- inbox.list returns, for the current space and the user's own bots, pending
asks and approvals (bot messages with a pending ask block whose run waits
for input), takeover requests, and unread specialist threads. Asks already
in the main conversation are left out; takeovers stay because their
controls live in the bot's own thread. Each item carries the bot, the
thread target, run and message ids, and the ask block for asks and
approvals.
- The main conversation shows the items above the composer. Asks and
approvals are answered in place through threads.answer with the source
thread target; takeovers and unread threads open the bot's thread. The
list refreshes when the bots' status, unread state or newest message
changes, every 15 seconds, and after an answer.
- The inbox shrinks and scrolls so it never pushes the composer out of view.
The transcript now clips its scroller: with no room left in the column,
the scroller's padding used to spill over whatever sat below it.
- The ask block schema is extracted from MessageBlock so the inbox contract
reuses it, and AskCard accepts a className.
Tests: unit tests for the item builder and the component, a Postgres suite
for the query (added to the harness list), inbox cases in the authorization
suite, and an E2E spec in which a specialist asks in its own thread and the
user answers from the main conversation.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* fix(adapters): write learned facts under the profile's lock and limit
Profile consolidation wrote facts beside the user profile repository: without
its per-user lock, its duplicate check at write time, or its limit of 500
facts. A long-running profile could grow past the limit and then refuse the
user's own additions. Consolidation now takes the same lock, drops facts the
profile gained since the run read it, and keeps only what still fits.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* fix(adapters): keep profile writes out of replies to other owners' agents
A run woken over an agent connection hears another owner's bot, not the
user, so update_user_profile is withheld there: nothing such a conversation
says can become a fact about the user. Detection moves ahead of tool
selection; the reduced user block uses the same flag.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(capabilities): least-privilege builtin tools per bot and schedules on behalf
Every bot saw every builtin tool, and nothing outside the runtime's own
declaration kept a run to the tools it was given: the executor ran any tool a
runtime asked for, and the Pi runtime exposed all builtins whenever a caller
passed an empty tool list, which the safety checker, the history summarizer
and the team chat judge do on purpose. A specialist could not be kept to the
tools of its lane, bots had no capability tags, and the main bot could only
schedule routines for itself.
- A bot can carry a builtin tool allowlist. Its runs see only the allowlisted
builtins, and an empty allowlist means none. MAIN_ONLY_BUILTIN_TOOLS (empty
until the user profile and delegation tools land) never reach other bots.
applyTool refuses any tool the run did not expose, and an empty tool list
now means no tools for the Pi runtime and its subagents.
- A bot spawned by a restricted bot inherits the restriction and a duplicate
keeps it, so neither path widens a bot's tools.
- bots.create and bots.update accept tags, restrictBuiltinTools and
allowedBuiltinTools; the router rejects names that are not builtin tools.
bots.builtinTools lists the names a bot's allowlist can use.
- Bot settings get a Tags field and a switch with a tool checklist under
Advanced.
- The main bot's schedule_create takes an optional bot: one of the user's
bots in any space the user still belongs to. The routine belongs to that
bot in its space and wakes in the main conversation when the bot is a
member there, otherwise in its 1:1 thread. Routines record the bot that
scheduled them (additive migration), so schedule_list and schedule_cancel
also cover exactly the routines a bot scheduled for others. Cancelling by
a name that matches several routines is refused.
Tested with unit tests for the per-bot filter, the applyTool guard, the empty
tool list, and on-behalf resolution, creation, listing and cancelling; with
Postgres journeys for on-behalf routines waking across spaces and in the main
conversation and for allowlist enforcement through the scripted runtime; and
with a web E2E for the settings section.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* test(adapters): give the consolidation unit tests the profile lock
The write transaction now takes the per-user profile lock, so the mocked
client answers the lock query, and the first case checks the lock is taken.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat(adapters): run profile consolidation on the fast tier when one is mapped
Fact extraction is short structured work, so consolidation asks the model
resolver for the fast tier. The resolver takes a per-call tier and, when the
space has not mapped it, keeps the bot's own tier or model as before.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
* feat: land in the main conversation, led by the main bot
After onboarding the user ended up in a 1:1 chat with "Chief", and the
"Hauptthread" was a group the web client created and found by name. The
main bot had no conversation it actually led, and addressing another bot
there did nothing unless the user had added it as a member first.
Now the main conversation is a real place:
- bots.ensureMain creates or returns the main bot. Bootstrap and space
navigation return `main` ({ botId, groupId, spaceId }) once the main
bot exists; reading navigation never creates a bot.
- The main bot leads the main conversation and answers when nobody is
addressed: message routing, follow-ups, reactions and clearing the
thread fall back to the group's lead instead of its first member.
- Addressing a same-space bot that is not a member yet, by @Name or a
mention chip, makes it join before the message is routed, so it
answers in the conversation. Specialists from other spaces do not join.
- The main bot cannot be archived or deleted, the main conversation
cannot be archived or deleted or have its members edited, and child
bots never dissolve it. Renaming the main bot renames the conversation.
- Web: onboarding uses bots.ensureMain and finishes in the main
conversation. The main conversation is the first sidebar entry in every
space, shown with the main bot's avatar and name; from another space it
switches back to the home space. The main bot is not listed again among
the bots, its 1:1 thread stays reachable by URL. The client no longer
creates or detects the "Hauptthread" by name, refetches a group when it
changes, and shows the speaker of any of the user's bots in a group.
- Onboarding no longer resets the step when its bootstrap resolves after
the user has already moved on, and new spaces open in the app instead
of walking onboarding again.
Tests: group mention routing with a default responder, lead follow-ups,
child-bot guards, a journey for the main conversation (lead answers,
addressed bot joins, guards, rename), authorization for bots.ensureMain,
and an E2E spec that lands in the main conversation, gets an answer from
the lead, sees an addressed bot join, and reaches the conversation from
another space. Existing E2E specs start in the main bot's thread through
a helper or use the main conversation where that is what they test.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01MRtGG9ARfqqhma3t85Ro2u
---------
Co-authored-by: cynarAI <cynarAI@users.noreply.github.com>
Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
cynarAI