- Rename catalog-source migration 20260626T120000 -> T150000 so it sorts
after develop's latest migration (T140000-page-temporary-notes); the old
timestamp predated ai-chat-message-status/share-aliases and tripped
Kysely's #ensureMigrationsInOrder, aborting server boot.
- Provider: inject a Nest Logger and log the real cause (incl. response
status) in the parseJson / readLocal / fetchRemote catch blocks, and
propagate a useful cause into the BadGatewayException message; add a
shortError helper (robust to jest's realm-shifted Error-likes).
- Provider: replace the manual Uint8Array assembly with
Buffer.concat(chunks).toString('utf8'); keep the streaming size cap.
- Controller spec: add admin-gate coverage for the 4 catalog routes
(catalog/catalogBundle/import/updateFromCatalog) - non-admin Forbidden +
service untouched, admin delegates with the right args.
- Service spec: add getCatalog/getCatalogBundle tests covering the
localized() three-tier fallback, the sorted language union, the
missing-bundle BadGateway, and the role-version default.
- Provider spec: add remote fetch-rejects and non-ok (503) error branches.
- Service: drop the dead Date.now() tail in freeName (now an explicit
unreachable throw) and extract a shared isUniqueViolation() predicate.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Admins can browse a curated catalog of agent roles, import roles/bundles
into a workspace, and update an imported role when the catalog ships a
newer version.
Catalog: a set of JSON files (index.json manifest + bundles/<id>/<lang>.json)
served from a local folder (dev) or a remote http(s) base URL via
AI_AGENT_ROLES_CATALOG_URL. Seeded with the existing 7 RU roles (editorial +
research bundles) plus EN translations.
Server:
- migration: nullable jsonb `source` column on ai_agent_roles
({ slug, language, version }; null => manually created)
- catalog provider: remote fetch with timeout + streaming size cap, or local
read; ^[a-z0-9-]+$ segment guard against path-traversal/SSRF
- admin endpoints: catalog, catalog/bundle, import, update-from-catalog
- import/update match by slug+language; update preserves `enabled`
Client:
- catalog modal with language selector and Import/Installed/Update states
- "Import from catalog" button + empty-state CTA in the roles settings panel
- en-US/ru-RU strings
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Two unrelated CI failures on the 0.94.0 release PR:
- server e2e: jest-e2e.json lacked transformIgnorePatterns, so the
ESM-only nanoid@5 package was loaded as CommonJS and crashed with
"Cannot use import statement outside a module". Add the same
node_modules whitelist already present in the unit and integration
jest configs (nanoid|uuid|image-dimensions|marked|happy-dom|lib0).
- mcp e2e: test-e2e.mjs read editRes.edits, but editPageText() returns
the per-edit results under `applied` (not `edits`), so editRes.edits
was undefined and .every() threw. Read editRes.applied instead.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Code-review follow-ups (Approve-with-comments) for batch #197
(context badge #189 / e2e in CI #187 / inline MCP test #170):
- server: extract the duplicated chatContextWindow ::text->positive-int
coercion (resolve() + getMasked()) into an exported parsePositiveInt
helper and unit-test its branches (200000/1.9/0/-5/""/abc/undefined),
closing the untested read-path gap.
- client: merge the two backward scans over messageRows into one pure,
exported selectContextBadge helper (numerator and denominator still
taken from the most recent row carrying EACH value) and unit-test the
different-rows and fresh-zero-doesn't-shadow cases.
- client: extract the MCP "Test" button tristate presentation into a pure
mcpTestButtonView helper (collapses the two parallel if/else chains) and
unit-test idle/ok-with-tools/ok-no-tools/failed label+tooltip branches.
- ci: redirect the backgrounded prod server's stdout/stderr to a log file
in e2e-mcp and cat it on failure, so a start-up crash is diagnosable
instead of surfacing only as the generic health timeout.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
onFinish always receives a totalUsage object, so the `?? {}` guard and
optional chaining were dead. Extract the field-level extraction into a
recordTurnUsage method (totalTokens, else input+output) and unit-test that
recordShareTokens receives the summed value when totalTokens is absent and the
authoritative total when present.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The anonymous public-share assistant only capped the COUNT of requests
(100/hour/workspace), not their cost. One accepted turn runs the agent loop
up to stepCountIs(5), re-sending the whole client-held transcript as input on
every step, while maxOutputTokens caps only the output; the request window is
hourly with no daily ceiling, so a steady stream at the cap sustains ~24x its
count per day. Counting requests therefore does not bound the owner's LLM bill
(red-team finding #5).
Add a second cost contour: a cluster-wide, sliding-window per-workspace TOKEN
budget over a rolling day. It is checked read-only BEFORE a turn streams (429,
no request slot consumed, nothing spent) and the turn's real usage
(totalUsage: input re-sent per step + output, summed across all steps) is
recorded once it finishes via streamText onFinish. Fails closed on the check
(deny when Redis can't prove we're under budget); best-effort on the record.
Env-overridable via SHARE_AI_WORKSPACE_TOKEN_BUDGET_PER_DAY (default 1M/day).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
persist-1: onStoreDocument wrapped the page write in a try/catch that only
logged and swallowed the error, then resolved "successfully". hocuspocus
destroys/unloads the in-memory Y.Doc right after the hook resolves (the only
copy of the latest edit), so a transient DB error (deadlock, serialization
failure, dropped connection) silently lost the edit. Worse, the post-store
branch ran on the partially-assigned `page`, broadcasting a phantom
"page.updated" and enqueueing a history snapshot for content never written.
Wrap the write in a small bounded retry (3 attempts) so the save is
re-attempted while we still hold the doc, and clear `page` on failure so the
success-only side effects never report a save that didn't happen.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
attach-1: when the same attachmentId was referenced by more than one page
in a duplicated subtree, the per-attachmentId map held only a single copy
entry, so the last page processed clobbered the others. The downstream
ownership guard (`attachment.pageId !== oldPageId`) then matched at most one
page and skipped the lone DB row entirely: no blob copied, no new row, every
copy's image 404'd. Key the map to a list of entries and copy one blob/row
per referencing page; drop the now-incorrect ownership guard.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
getPageBreadCrumbs (ancestor CTE) and forceDelete (descendant CTE) used
withRecursive + unionAll with no CYCLE clause or depth cap. If a parent/child
cycle already exists in the data (e.g. one slipped in via the #7 TOCTOU race),
both queries loop forever — hang / statement timeout. Worse, the move guard
itself runs the ancestor CTE, so a cycle would disable the very guard meant to
prevent it (#207#8).
Add a depth counter bounded by MAX_PAGE_TREE_DEPTH to both recursive CTEs; the
walk stops at the cap, so a cycle yields a bounded result instead of hanging.
Real page trees are only a few levels deep, so the cap never truncates a
legitimate result. getPageBreadCrumbs selects an explicit column list (not
selectAll) so the internal depth counter never leaks into the breadcrumb shape.
Adds an integration test that seeds an A<->B cycle directly and asserts both
getPageBreadCrumbs and forceDelete return bounded / complete under a short
connection-level statement_timeout instead of hanging.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The server-side move cycle guard (getPageBreadCrumbs) and the move UPDATE ran
as two separate, unlocked statements. Two concurrent moves ("A under B" and
"B under A") could each read the same pre-write acyclic snapshot, both pass the
guard, then persist A.parentPageId=B AND B.parentPageId=A — a parent/child
cycle (TOCTOU, #207#7).
Run the cycle check and the UPDATE inside one transaction (executeTx) guarded
by a per-space advisory lock (pg_advisory_xact_lock, held until COMMIT) so all
moves within a space serialize: the second mover blocks until the first commits
and then sees the freshly written parent, so its guard rejects the cycle.
getPageBreadCrumbs gains an optional trx so the check runs on the locked snapshot.
Adds an integration test driving two opposing concurrent movePage calls and
asserting no cycle ever persists and exactly one move is rejected. Updates the
movePage unit-test stubs for the new transactional path.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
In-app AI-chat tools used bare zod schemas, so when the model dropped a
required arg (typically pageId) in a parallel/batch tool call, the AI SDK
forwarded zod's raw "expected string, received undefined" text to the model
— not actionable. Add a centralized modelFriendlyInput(shape) wrapper that
keeps the exact JSON Schema contract (required/description/constraints via
z.toJSONSchema draft-7) but replaces the raw zod text with a message naming
each missing/invalid parameter and reminding the model not to drop ids like
pageId in parallel batches. No value is guessed/backfilled (cf. #159).
Applied to every in-app tool: the sharedTool() builder and all inline
inputSchema in ai-chat-tools.service.ts, plus public-share-chat-tools.service.ts.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The floating chat window's header badge flipped meaning — a live per-turn token
counter while streaming, the persisted context size at rest — so it "reset to 1"
on each prompt and conflated two different numbers. Replace it with a stable
"current / max" context badge (e.g. `572 / 200k`). The live "Thinking · N tokens"
inside the chat body stays; only the duplicate live counter is removed from the
header.
Max comes from a new admin setting "Context window (tokens)". The server resolves
it and attaches `maxContextTokens` to the completed assistant turn's metadata
(next to contextTokens), so the badge needs no client-side model resolution and
this survives public shares / per-role models.
Server:
- ai.types: chatContextWindow on AiProviderSettings + PROVIDER_SETTINGS_KEYS +
ResolvedAiConfig + MaskedAiSettings.
- workspace.repo: chatContextWindow in AI_PROVIDER_SETTINGS_ALLOWED (parity).
- update-ai-settings.dto: @IsInt @Min(0) chatContextWindow.
- ai-settings.service: coerce the ::text-stored value to a positive int in
resolve()/getMasked().
- ai-chat.service: flushAssistant writes metadata.maxContextTokens (>0); the
completed turn passes resolved.chatContextWindow.
Client:
- ai-chat.types: maxContextTokens on the message-row metadata.
- ai-chat-window: read maxContextTokens; render "current [/ max]"; drop the
liveTurnTokens state/branch and the onLiveTurnTokens prop; new tooltip.
- chat-thread: remove the live-turn-token throttle effect and plumbing.
- count-stream-tokens: drop the now-dead liveTurnTokens()/types; keep
estimateTokens.
- settings: chatContextWindow on IAiSettings(+Update) + a NumberInput in the AI
provider settings form.
i18n: add the badge/settings keys (en, ru); remove the two now-unused keys.
Tests: flushAssistant maxContextTokens, DTO validation, trim token tests.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Approve-with-comments re-review; no blockers. All 7 actionable points (8 is a
forward-looking architecture note — recommendation A, keep as-is):
1. chat-markdown.util spec: restore parity coverage of the removed client spec —
tool error state (+ errorText), unknown-tool fallback (`Ran tool <name>` en /
`Выполнил инструмент <name>` ru), and the circular-output stringify catch.
2. findAllByChat row cap is now testable (injectable limit) + an int-spec proves
truncation on a modest volume.
3. Stability: the per-step durability updates are SERIALIZED via a promise chain
(stepUpdateChain) so they commit in step order — onlyIfStreaming already
closed the finalize race, this closes inter-step ordering.
4. findAllByChat keeps the NEWEST messages on truncation (order DESC + reverse,
like findRecent) and logs a warning with chatId, instead of silently dropping
the newest tail.
5. The LABELS parity comment already references the real path (tool-parts.tsx /
toolLabelKey) — confirmed accurate.
6. Removed the redundant 'off-by-one boundary' test (strict subset of the two
adjacent prepareAgentStep cases).
7. Extracted the terminal-finalize dispatch into a shared `applyFinalize`, used
by BOTH the service's finalizeAssistant and its test — the test now exercises
the real path, not a copy, so a production drift fails it.
Verified: server build + 325 ai-chat unit + 6 integration; prettier clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The re-review's blocking/structural points (lease leak, dup-id guard test,
body-before-title test, CHANGELOG, pg18, shared jsonb decoder) were already
addressed in commit 24264ef; this adds the 4 genuinely-new coverage requests:
- pt 6: `scrollToReference(id, index?)` exercised against a live editor DOM —
selects the index-th `sup[data-footnote-ref][data-id]` occurrence, falls back
to the first for out-of-range, returns false for an empty id (scrollIntoView
stubbed). (#168)
- pt 7: export `backlinkLabel` and pin the base-26 carry boundary
(25->z, 26->aa, 27->ab, 51->az, 52->ba). (#168)
- pt 8: integration fail-open — a PRESENT-but-corrupt tool_allowlist (jsonb
string scalar holding non-array JSON) reads back as null ("no restriction"),
covering normalizeRow's degrade branch. (#159 #172/#173)
- pt 9: getFootnoteRefCount cache invalidation — adding a `[^a]` reference bumps
the cached count 2 -> 3. (#168)
Verified: editor-ext footnote 23; client structure 7 + tsc; server int 8.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
15-point review of the persistent-history PR. Architecture decisions: crash
recovery = recency threshold; tool-label duplication = leave as-is.
Must-fix:
1. Boot-sweep bounded by recency. sweepStreaming now also requires
`updatedAt < now() - SWEEP_STREAMING_STALE_MS` (10 min), so a fresh replica's
startup sweep can't abort a turn another replica is actively streaming
(multi-instance deploy). Int-spec: a FRESH 'streaming' row is NOT swept, a
STALE one IS.
2. Restore export during the FIRST streaming turn of a new chat (#174). The
server chatId is now adopted EARLY (in-place, on the start-chunk metadata) via
a new `onServerChatId` callback wired through use-chat-session → chat-thread,
so `activeChatId` is set at turn start and the Copy button is live mid-first-
turn (canExport = !!activeChatId). Hook tests for early/in-place/no-op adopt.
3. Cover finalizeAssistant's fallback-insert branch: extracted pure
`planFinalizeAssistant(assistantId)` (update when id present, insert when the
upfront insert failed) + a dispatch harness test for both arms.
Tests: onModuleInit lifecycle spec (sweep called; throw → resolves + warns);
int-spec updatedAt assertion → toBeGreaterThan.
Cleanups: cap findAllByChat at 5000 rows; upfront-insert-failure log carries
chatId+workspaceId; removed the now-dead buildPartialAssistantRecord (only the
spec consumed it; shapes still pinned by the flushAssistant suite); controller
passes `lang: dto.lang` (normalizeLang handles undefined); dropped a no-op
`?? undefined` in errorOf; documented the content-column semantics change
(concatenated step text, UI renders from metadata.parts); CHANGELOG [Unreleased]
entry (#183, #174); reworded the stale LABELS parity comment.
Verified: server build + 323 ai-chat unit + 5 integration; client tsc + 160
ai-chat unit; prettier clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
8-point multi-aspect review of the batch PR; security/regressions were clean.
1. Lease leak: the #180 reorder moved `toolsFor` (which leases external MCP
clients, refCount+1) ahead of buildSystemPrompt + forUser, but the only
release (closeExternalClients) was bound to the streamText callbacks. A throw
in between leaked the lease (refCount stuck, undici sockets held until
restart). Define closeExternalClients right after the lease and wrap
buildSystemPrompt+forUser in try/catch that closes-then-rethrows.
2. Cover the patch_node/delete_node dup-id refusal (#159#6): extract the guard
into a pure `assertUnambiguousMatch` (node-ops) and unit-test 0/1/>1.
3. Regress the body-before-title order (#159#10): mock-HTTP test (collab fails
fast against a server with no WS upgrade) asserts /pages/update (title) is
NEVER posted when the body write fails — for updatePage AND updatePageJson.
4. CHANGELOG [Unreleased]: #180, #168 (Added); #163 (Fixed).
5. Add the missing en-US i18n keys (Back to references / {{label}}).
6. Drop the duplicate content/empty/blank cases in ai-chat.prompt.spec.ts (they
repeat the buildMcpToolingBlock unit tests); keep only sandwich placement +
both-safety-copies.
7. CI Postgres pg16 -> pg18 (match docker-compose).
8. jsonb decode seam: shared `parseJsonbValue(value, guard)` in database/utils.ts
holds the legacy double-encoding self-heal in one place; parseToolAllowlist /
parseModelConfig keep only a type-guard.
Verified: server build + 124 unit + 15 integration; mcp 311; prettier clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
`ShareSeoController.getShare` resolved the inherited share with the RAW
`getShareForPage`, which does NOT run the restricted-ancestor gate. So for a
page shared with includeSubPages whose descendant is permission-restricted, the
SEO route served that descendant's real title in <title>/og:title/twitter:title
to anonymous visitors and crawlers — even though the content API returns 404 for
it (red-team finding #3).
Funnel the SEO path through the canonical `resolveReadableSharePage` boundary
(the single place that checks `hasRestrictedAncestor`): a non-readable page now
serves the plain SPA index with no meta. Also honour `isSharingAllowed` — a
share whose workspace/space sharing toggle was flipped off after creation no
longer leaks its title via SEO. Title comes from the server-resolved page;
`buildShareMetaHtml` already emits robots=noindex when the share opted out of
indexing.
Tests (controller routing, fs spied at call time so bcrypt's native loader is
untouched): non-readable page => plain index, no title; sharing-disabled =>
plain index; readable+indexing => title + og:title, no noindex; readable+no-
indexing => noindex. Asserts getShareForPage is never called by the SEO path.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The client sends the "current page" as { id, title } in the request body and the
server echoed BOTH verbatim into the system prompt context and the
getCurrentPage tool. id and title are independently attacker/desync-controllable
(two tabs, stale navigation), so openPage.id could point at page B while
openPage.title said "Page A" — the model then reported "updated Page A" while it
actually edited page B (CASL still allowed it; the user has access). Red-team
finding #4.
Resolve the open page ONCE against the DB via a new `resolveOpenPageContext`:
workspace-scoped lookup + access check, returning the AUTHORITATIVE { id, title }
(title from the DB row, never the client) or null (fail-closed) for a missing /
foreign / inaccessible page. That validated value now feeds the system prompt,
the getCurrentPage tool, AND the new-chat history origin (which previously did
this validation inline, for the id only — now shared, and the title is fixed
too).
Tests: resolveOpenPageContext covers no-id, not-found, foreign-workspace,
Forbidden, non-Forbidden-fault (fail-closed), the DB-title-wins-over-client case,
and null-title coercion.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Admins can now give each EXTERNAL MCP server a free-text instruction ("how/
when to use this server's tools") that the agent receives in its SYSTEM
PROMPT next to the tool descriptions — porting the built-in SERVER_INSTRUCTIONS
idea to admin-configured servers. Trusted, admin-authored text (like a system
prompt); NON-secret, so unlike headersEnc it IS returned in views/forms.
- Migration: nullable `instructions text` on ai_mcp_servers (old rows = null =
no guidance). Table type + repo insert/update (blank/whitespace -> null via
blankToNull). DTO `@MaxLength(4000)`. Service threads it through
McpServerView/toView.
- mcp-clients: `McpServerInstruction { serverName, toolPrefix, instructions }`
threaded through the toolset/cache/lease. Guidance is built ONLY for a server
that actually connected AND contributed >=1 callable tool (the allowlist may
filter all of them out) AND has non-blank text — so a guide never appears for
tools the agent cannot call. Cached with the toolset, so an edit is picked up
next turn via the existing CRUD cache invalidation.
- System prompt: `buildMcpToolingBlock` renders an <mcp_tooling> block INSIDE
the safety sandwich (after context, before the trailing SAFETY_FRAMEWORK) so
it informs tool choice but cannot override the rules; each section is headed
by the server's `prefix_*` namespace. Empty/blank -> block omitted. The
caller (ai-chat.service) now builds the external toolset BEFORE the prompt and
passes external.instructions; client-handle lifecycle (close-once) unchanged.
- Client: instructions field in types + a Textarea (autosize, maxLength 4000)
in the MCP-server form with a namespace-prefix hint; i18n (en/ru).
Tests across every layer (prompt block placement + both SAFETY copies; view
blank->null; buildEntry includes guidance only for connected+>=1-tool+non-blank;
DTO MaxLength; repo + integration round-trip; service wiring). Delegated impl
reviewed (APPROVE); applied the import-type follow-up.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
PR #172 fixed the jsonb double-encoding for `tool_allowlist` but the same
class of bug, and the same re-derived workaround, remained elsewhere.
1. model_config (agent roles): jsonbObject still used the buggy `::jsonb`
bind, so `ai_agent_roles.model_config` round-tripped as a jsonb STRING
SCALAR. The read-path `typeof === 'object'` check then failed and the
model override was SILENTLY dropped (role fell back to the default model).
Fixed to `::text::jsonb` and added `parseModelConfig` + `normalizeRow` so
every read self-heals already-corrupted rows (no migration).
2. Centralized the write workaround as `jsonbBind()` in database/utils.ts —
one implementation with one explanation of the quirk — replacing the
per-repo `jsonbArray` (mcp) and `jsonbObject` (roles).
3. Integration coverage (the fix is a DB round-trip a unit test cannot see;
the read-side parser MASKS a write regression): new
ai-mcp-server-repo.int-spec asserts `jsonb_typeof(tool_allowlist)='array'`
after insert + heals a seeded string-scalar row; ai-agent-roles-repo
int-spec gains the same for `model_config` (`'object'` + heal).
4. Updated the stale `ai-mcp-servers.types.ts` comment (the driver returns a
JSON string for legacy rows; the repo normalizes every read).
5. Fail-open logging: a corrupt tool_allowlist degrades to "no restriction"
(agent gets ALL tools) — normalizeRow now warns (server id only, never
contents) so the silent widening leaves a trace.
6. Simplified parseToolAllowlist (normalize the string once, then a single
array-of-strings check) — identical behaviour, all 12 cases still pass.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Review caught a real race: onStepFinish fires `updateStreaming()` fire-and-
forget (not awaited), so the FINAL step's streaming UPDATE and the terminal
`finalizeAssistant` UPDATE run as two concurrent statements on different pool
connections — commit order is not guaranteed. If the late streaming update
lands AFTER finalize, the completed row is clobbered back to status='streaming'
with no usage/finishReason, and the next startup sweep then mis-marks the
finished turn 'aborted'. Green unit/integration tests don't reproduce a
cross-connection race.
Fix: scope the per-step update with `onlyIfStreaming` → SQL `WHERE
status='streaming'`. Once finalize has set a terminal status the late update
matches zero rows and no-ops, regardless of commit order; finalize runs
unguarded so it always wins. A cheap `if (finalized) return` short-circuit
avoids most wasted queries, but the SQL guard is the authoritative fix (the
flag can be set after a query is already in flight).
Integration test: finalize to 'completed', then a late onlyIfStreaming update
is a no-op — status/content/usage preserved.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The chat lived in inconsistent paradigms (in-memory stream + client export vs.
DB-as-context), which made export flaky and lost the assistant answer if the
process died mid-turn. Make the DB the single source of truth.
A. STEP-GRANULAR DURABILITY (server)
- ai_chat_messages gains a nullable `status` column (migration; NULL = legacy =
completed). The assistant row is now INSERTED UPFRONT as `status:'streaming'`
and UPDATEd on every onStepFinish with all finished steps (text + tool calls +
tool RESULTS), then finalized once to completed/error/aborted on the terminal
callback. So a process death mid-turn keeps every finished step; a startup
sweep (OnModuleInit → sweepStreaming) flips any dangling 'streaming' row to
'aborted'. The write path no longer depends on a live socket.
- Pure exported `flushAssistant(steps, inProgressText, status, extra?)` builds
the persist payload (metadata.parts byte-identical to the old builder), so a
future background worker can call the same path. AiChatMessageRepo gains
`update`, `sweepStreaming`, and `findAllByChat`.
- consumeStream drain, external-MCP client close-once, SSE heartbeat preserved.
B. SERVER-SIDE EXPORT
- New pure `chat-markdown.util.ts` renders Markdown from DB rows ONLY (server
port of the client builder). Because A persists the in-progress row, the
export now includes an interrupted turn up to its last finished step (flagged
"still generating"). `POST /ai-chat/export` (owner-gated via assertOwnedChat,
workspace-scoped) returns it; `lang` accepts a full client locale tag
('en-US'/'ru-RU') and is normalized server-side (normalizeLang) — a strict
@IsIn(['en','ru']) DTO rejected the real client's i18n.language with a 400,
caught in real-browser testing.
- Client: handleCopy calls the endpoint; `canExport = !!activeChatId`. The whole
liveThreadRef/liveStateRef/onLiveContentChange/hasLiveContent hybrid (and the
client chat-markdown util + test) is removed — the server is now authoritative.
Tests: flushAssistant unit (status shapes + parts parity), chat-markdown.util
unit (incl. legacy NULL-status + interrupted note + ru + normalizeLang locale
tags), controller export wiring + owner-gate, integration update/sweepStreaming.
Verified: server build + 318 ai-chat unit + 3 integration; client tsc + 157
ai-chat unit; and END-TO-END in a real browser — a chat turn persists mid-stream
and the Copy button exports the DB-sourced markdown (showing the in-progress
row), HTTP 200 after the locale fix.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
External MCP tools (web search, crawl) had no per-call timeout: a hung
tool call was only broken by the 15-min transport silence timeout shared
with the chat provider, and a server that kept the socket warm but never
returned could spin until the user cancelled.
Add two independent, composing bounds for external MCP traffic (the chat
provider path is unchanged):
- Silence 5 min: buildPinnedDispatcher now overrides headersTimeout/
bodyTimeout with mcpStreamTimeoutMs() (AI_MCP_STREAM_TIMEOUT_MS,
default 300000) on the external-MCP dispatcher only, so a byte-silent
upstream is severed in ~5 min instead of 15.
- Total per-call 15 min: wrapToolWithCallTimeout wraps each external
tool's execute with a fresh AbortController + timer composed with the
turn signal via AbortSignal.any (AI_MCP_CALL_TIMEOUT_MS, default
900000). It RACES the call against the abort signal because
@ai-sdk/mcp does not settle its in-flight promise on abort, so a
warm-but-stuck call would otherwise hang forever.
On timeout the call surfaces as a tool-error and the agent loop recovers.
Add tests (incl. a never-settling real-client-style stub) and document
both env vars in .env.example.
The /api/ai-chat/stream and public-share streaming paths piped streamText
output to the client socket via pipeUIMessageStreamToResponse, whose only
reader is that socket. On a client disconnect (pervasive Safari/proxy
ECONNRESET), backpressure stalled the stream: the controller aborted the
turn but nothing drained it, so streamText's onFinish/onError/onAbort never
fired. Cleanup (close leased MCP clients, persist partial) never ran and the
whole per-turn object graph (history, per-request toolset closures, captured
steps, SDK buffers) stayed rooted — accumulating across turns until the
default ~2GB heap saturated and the process crashed with
"Ineffective mark-compacts near heap limit - JavaScript heap out of memory".
Add the AI SDK v6 documented remedy: fire-and-forget
`result.consumeStream({ onError })` right after streamText(), which removes
backpressure and drains the stream independently of the client socket so the
terminal callbacks always fire and the turn's memory is released even when the
client has gone away. Applied to both the authenticated and public-share
stream services.
Also add `--heapsnapshot-near-heap-limit=2` to the prod start script so any
residual leak dumps a heap snapshot near OOM for diagnosis (no effect on
normal operation). Heap size stays ops-tunable via NODE_OPTIONS.
- apps/server/src/core/ai-chat/ai-chat.service.ts
- apps/server/src/core/ai-chat/public-share-chat.service.ts
- apps/server/package.json
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Invert the transport layers so the pre-response retry is OUTERMOST and the
provider-HTTP instrumentation is INNER. Before, the retry lived inside
createStreamingFetch (under the instrumentation), so a reset the retry
recovered from logged only a clean "OK status=200" — the
"PRE-RESPONSE FAILED ... ECONNRESET ... idleSincePrevCall" signal went blind
exactly when the fix works, and AI_STREAM_KEEPALIVE_MS couldn't be tuned from
prod data. Now createStreamingFetch is the dispatcher-bound BASE (no retry) and
a new withPreResponseRetry() wraps it; ai.service composes
withPreResponseRetry(createInstrumentedFetch('AiService:provider-http',
createStreamingFetch())), so every attempt — including recovered resets — flows
through the instrumentation. (Also expresses the keepAlive-config vs retry-
behavior boundary structurally, per review #3.)
- Add the retry-exhaustion test: a server that resets EVERY connection, asserting
the call rejects with a retryable connection error AND exactly
PRE_RESPONSE_CONNECT_RETRIES + 1 (= 3) requests reached the server — pinning the
bound and that the final error propagates (guards an off-by-one / infinite loop
/ swallowed error). Existing happy-retry + abort tests moved onto
withPreResponseRetry.
Verified on the stand: a normal turn still streams (reasoning + finish) and the
provider-HTTP telemetry still logs. server tsc + ai/mcp specs green (30).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The real cause of the long-task "Lost connection to the AI provider" — the
earlier 300s-timeout fix (#176) was the wrong layer. The provider-HTTP telemetry
on the user's deploy shows the failures are PRE-RESPONSE `read ECONNRESET` ~500ms
in (not a 300s/15min timeout), correlated with idleSincePrevCall ~42s and large
bodies; and crucially a retry of the SAME request often succeeds. A direct probe
to the real z.ai endpoint does NOT reset (113KB bodies and a 45s-idle keep-alive
reuse both succeed), and another agent (opencode) runs fine from the same infra —
so the provider is healthy and the egress network is usable. The difference is
the transport: undici's keep-alive pool REUSES a socket that the deployment's
egress (NAT / firewall / conntrack) silently dropped during a long idle gap, so
the next request resets pre-response.
Fix (brings gitmost in line with clients that don't reuse stale sockets):
- Keep-alive recycling: the streaming dispatcher (chat fetch AND the external-MCP
dispatcher, via the shared streamingDispatcherOptions) now sets
keepAliveTimeout + keepAliveMaxTimeout to a 10s recycle window
(AI_STREAM_KEEPALIVE_MS), so a connection idle longer than that is closed
instead of reused — a long-gap step opens a fresh connection. keepAliveMaxTimeout
also caps a server-advertised keep-alive so the provider can't widen the window.
- Pre-response connection retry: createStreamingFetch retries a connection-level
reset (ECONNRESET / UND_ERR_SOCKET / ECONNREFUSED / EPIPE / *_TIMEOUT) on a
fresh connection up to 2 times. This is SAFE because fetch() only rejects before
the Response resolves — a started stream is never replayed; an abort (client
disconnect) is never retried.
Tests: ai-streaming-fetch.spec — keep-alive options, streamKeepAliveMs env,
isRetryableConnectError, and a server that resets the first connection so the
retry must land on a fresh one (+ aborted requests are not retried). Verified on
the stand that a normal turn still streams (reasoning + text + finish) through the
new transport. server tsc + ai/mcp specs green.
Note: root cause is the deployment's egress dropping idle connections (Traefik is
inbound-only); this makes the app resilient to it. AI_STREAM_KEEPALIVE_MS can be
lowered if the egress drops faster than ~10s.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Addresses the second #177 review:
- Architecture (the silent allowlist drift): the writable provider-setting keys
were maintained by hand in two TS-uncheckable places — the key-loop in
ai-settings.service and the SQL ALLOWED list in the generic workspace repo (a
miss there silently dropped a field on persist, exactly what bit chatApiStyle).
Introduce one typed source of truth PROVIDER_SETTINGS_KEYS in ai.types
(`satisfies readonly (keyof AiProviderSettings)[]`), have the service consume
it, and keep the repo's own copy (it can't import AI types) guarded by a parity
test so any future drift fails in CI.
- Tests:
- ai.service.include-usage.spec: mocks @ai-sdk/openai-compatible and asserts the
factory is called with { includeUsage: true, baseURL, apiKey, fetch, name } —
`.provider` alone could not catch a dropped includeUsage (the token-usage
zeroing regression); also asserts the 'openai' style does NOT use it.
- ai-provider-settings-keys.spec: the allowlist parity check + DTO validation
for chatApiStyle (@IsIn accepts both values, rejects garbage, optional).
- CHANGELOG: [Unreleased] entries for the new "Protocol" / chatApiStyle setting
and the default provider change (openai -> openai-compatible). (#175, #177)
server + client tsc clean; 42 ai/settings specs green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Rebuilt on develop (after #176) and reworked per review: instead of inferring the
provider from baseUrl (`if (baseUrl)`), the admin picks the chat provider
EXPLICITLY via a new `chatApiStyle` ('openai-compatible' | 'openai'), mirroring
the existing sttApiStyle. A custom baseURL can front real OpenAI too, so the
heuristic was fragile.
Why reasoning was missing: glm-5.2 (and DeepSeek etc.) stream their thinking as
`reasoning_content`, but the official @ai-sdk/openai provider does not map that
field. 'openai-compatible' uses @ai-sdk/openai-compatible, which does — so
reasoning parts now stream (verified live: reasoning-start/delta/end appear, and
disappear when set to 'openai').
- Default (unset) = 'openai-compatible', so existing openai+baseUrl workspaces
surface reasoning with no admin action. No DB migration (field lives in the
settings.ai.provider JSON blob).
- includeUsage: true on the openai-compatible model — without it the provider
omits streamed usage, zeroing the live token counter / reasoning-token
metadata. The official provider always sent it; this keeps parity. (Confirmed
live: usage.totalTokens present.)
- openai-compatible has no default endpoint, so with no baseURL (real OpenAI, or
a role's cross-driver override that cleared it) it falls back to the official
provider.
Plumbing: ai.types (ChatApiStyle / CHAT_API_STYLES + AiProviderSettings /
MaskedAiSettings), update DTO (@IsIn), ai-settings.service (resolve / getMasked /
update allowlist), workspace.repo updateAiProviderSettings ALLOWED (the second,
SQL-level allowlist the review missed — without it the field never persisted),
ai.service selector. Client: ai-settings-service types + a Protocol <Select> in
the chat section + i18n (en/ru). Scope is chat-only (embeddings don't stream
reasoning; STT already has sttApiStyle).
Tests: ai.service.spec — 4 cases (openai-compatible+baseURL, openai+baseURL,
default-unset, openai-compatible-without-baseURL fallback). Verified on the stand:
default streams reasoning + usage; 'openai' drops reasoning; the setting
round-trips. server + client tsc clean; 36 ai/settings specs green.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Wording: every comment now says the stream timeouts are RAISED to a
generous-but-finite ~15-min silence timeout, not "disabled (0)" (the stale
comments contradicted the code, which uses AI_STREAM_TIMEOUT_MS, default
900000ms).
- Architecture (the load-bearing-temporary trap): the streaming fetch reached
the chat provider only by riding the "temporary DIAGNOSTIC" telemetry, so
deleting the telemetry by its own label would silently revert the timeout fix.
Legitimize it: rename ai-http-diagnostics.ts -> ai-provider-http.ts,
createDiagnosticFetch -> createInstrumentedFetch, field aiDiagnosticFetch ->
aiProviderFetch, drop the "temporary" labels, and document the chat transport
(streaming fetch + instrumentation) as one intentional construct.
- Docs: AI_STREAM_TIMEOUT_MS added to .env.example next to AI_EMBEDDING_TIMEOUT_MS.
- Tests:
- ai-provider-http.spec: createInstrumentedFetch delegates to the injected
baseFetch with the same input/init, returns the Response untouched, rethrows
the error, and defaults to global fetch — covering the baseFetch seam.
- ai-streaming-fetch.spec: the delayed-server test is now LOAD-BEARING — with
AI_STREAM_TIMEOUT_MS set below the 1.5s server delay the call actually rejects
(a lost dispatcher -> global 300s default would NOT), proving the configured
dispatcher is wired; plus the default-timeout happy path.
server tsc clean; ai-streaming-fetch / ai-provider-http / ai.service / mcp-servers
/ ai-error specs green (41).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Long research turns failed mid-task with "Lost connection to the AI provider".
Node's global fetch (undici) defaults BOTH headersTimeout and bodyTimeout to
300_000ms, and the chat provider + the external-MCP dispatcher both ran on it
with no override, so:
- the z.ai chat stream dropped when a late step's huge accumulated context
pushed the model's time-to-first-token past 5 min (the model reasons
server-side with NO streamed reasoning, so the connection is silent until the
first answer token — reproduced: even a trivial glm-5.2 query has a ~4-8s
first-chunk gap; a long run reaches 400k+-token steps), or a reasoning model
paused >5 min between chunks (bodyTimeout);
- the crawl4ai SSE transport, held open across the whole turn, dropped when it
idled >5 min between tool calls.
Fix: a dedicated undici dispatcher whose stream timeouts are raised to a
generous-but-FINITE silence timeout (default 15 min, AI_STREAM_TIMEOUT_MS) on
each path. NOT disabled (0): that would let a genuinely hung provider — with the
client still connected — hang forever, since the turn's abortSignal only fires on
client disconnect. The timeout bounds SILENCE (time-to-first-byte and the gap
BETWEEN chunks), NOT total turn duration, so an arbitrarily long turn that keeps
streaming is never cut; only a stream quiet for >15 min is treated as a hang.
- ai-streaming-fetch.ts: createStreamingFetch() + streamTimeoutMs() /
streamingDispatcherOptions() (the shared, configurable timeout).
- ai.service: the chat provider fetch is createStreamingFetch(), wrapped by the
existing passive ECONNRESET telemetry (createDiagnosticFetch gained an
optional baseFetch) so the telemetry observes the SAME transport.
- mcp-clients: the SSRF-pinned Agent uses streamingDispatcherOptions().
Investigation: reproduced the transport mechanism against the real z.ai endpoint
(a 1ms headersTimeout throws UND_ERR_HEADERS_TIMEOUT — the exact drop) and ran
the actual research agent to a ~428k-token context. Verified the fixed path
streams cleanly live (glm-5.2 turns finish; telemetry confirms the streaming
fetch is in use).
Tests: ai-streaming-fetch.spec (default 15m + env override + invalid fallback +
both-timeouts + streams a delayed response); ai-http-diagnostics + ai/mcp specs
green. server tsc clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Investigate the intermittent (~20-30%) long-turn failure
"Lost connection to the AI provider" = AI_RetryError / read ECONNRESET
on the gitmost->z.ai link (browser-agnostic, mid-turn). Pure
instrumentation, no behavior change:
- ai-http-diagnostics.ts: a passive fetch wrapper injected into the
OpenAI-compatible (z.ai) client. Per provider HTTP call it logs
time-to-headers/status on success, and on a pre-response rejection the
latency, error code/cause, request-body size and idle-gap since the
previous call. The Response is returned untouched (streaming intact),
errors rethrown unchanged; no retry/timeout/dispatcher.
- ai.service.ts: wire the instrumented fetch into the openai case only.
Lets us classify the reset as connection-phase vs mid-stream before
choosing a fix, without repeating the reverted RetryAgent (#140).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Opening the edit form for an MCP server that has a saved tool allowlist crashed
the whole settings page (`TypeError: Ke.map is not a function` in Mantine) — and,
worse, the allowlist was silently NOT enforced. Both stem from one root cause:
the `tool_allowlist` jsonb column round-trips as a JSON STRING, not an array.
Root cause: `jsonbArray` bound `JSON.stringify(value)` (already a JSON string)
straight to a `::jsonb` cast. node-postgres infers the param type as jsonb and
JSON-stringifies it a SECOND time, so the column stored a jsonb STRING SCALAR
(`"[\"a\"]"`, jsonb_typeof = string) instead of an array. On read the driver
hands back the JS string `'["a"]'`. Then:
- the edit form's TagsInput called `.map` on a string -> page crash;
- mcp-clients did `Array.isArray(allow)` -> false for a string -> fell through
to "no restriction" and exposed ALL of the server's tools.
Fix (both verified on the stand):
- Write: `jsonbArray` casts `::text::jsonb` so the param is bound as text (sent
verbatim) and parsed into a real jsonb array. New rows now store
jsonb_typeof=array.
- Read: `normalizeRow` runs every fetched row through `parseToolAllowlist`, which
returns `string[] | null` for both shapes (already-array passes through; a JSON
string is parsed; null/invalid -> null). This REPAIRS existing double-encoded
rows on read, so the UI and the allowlist enforcement work without a data
migration. Applied in findById / listByWorkspace / listEnabled.
- Client: defensive `Array.isArray(...) ? ... : []` guard in the form so a bad
shape can never take the settings page down again.
Tests: ai-mcp-server.repo.spec (8 cases for parseToolAllowlist — array, the
JSON-string read, null, empty, non-array json, unparseable, non-string elements,
non-string primitive). mcp-servers-to-view + mcp-namespacing still green.
Verified live: an old double-encoded row now reads as an array; a newly created
server stores jsonb_typeof=array.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Investigate the Safari-only "Lost connection to the AI provider" mid-stream
disconnect (Chrome unaffected). Pure instrumentation, no behavior change:
the 15s heartbeat interval and all stream callbacks are unchanged.
- sse-resilience.ts: startSseHeartbeat() gains an optional onBeat hook fired
after each successfully written ping (beat counter).
- ai-chat.service.ts: track stream start, first-chunk latency, model-silent
gap and heartbeat count; log them on finish/error/abort to classify the
drop (idle-gap vs hard wall-clock cap vs slow first chunk).
- ai-chat.controller.ts: append elapsed-since-request to the disconnect warn.
All blocks tagged "DIAGNOSTIC ... temporary" for easy removal once the Safari
failure mode is identified.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Review of #156 (Request changes) flagged the new CLIENT logic as untested. Extract
the decision logic from chat-thread.tsx into pure, unit-testable helpers and cover
both branches the reviewer called out:
- `roleLaunchMessage(role, default)` — the three-way handleRolePick behavior:
autoStart=false -> null (send nothing); autoStart=true + custom -> trimmed
message; autoStart=true + empty/null/whitespace -> default fallback.
- `shouldResetRolePicked(chatId, roleId, flag)` — the #149 render-phase reset; the
regression test asserts the stuck-flag case (New chat after an autoStart=false
pick -> cards return) that the pre-fix code never handled, and that a still-bound
role keeps the cards hidden.
chat-thread.tsx now calls these helpers (behavior unchanged). 9 new pure tests.
Also folded the review's cosmetic suggestion: `x ? x : null` -> `x || null` in
ai-agent-roles.repo.ts (identical for string|null|undefined).
Client tsc clean; role-launch + role-cards green; repo spec green.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Tokens were only counted post-hoc (onFinish) and the header badge updated only on
chat open/switch; reasoning wasn't requested or shown. Now a counter ticks LIVE
during generation and surfaces reasoning ("thinking") tokens separately, like
Claude Code's `Thinking… · N tokens`.
Architecture (AI SDK v6): no provider gives exact per-token usage mid-stream, so
the live number is a cheap client estimate (chars/≈4) reconciled to AUTHORITATIVE
provider usage at step boundaries and turn end. The useChat per-delta re-render is
the existing realtime engine.
- server: `chatStreamMetadata` now also forwards usage on `finish-step` + `finish`;
`sendReasoning: true`; persisted `metadata.usage` carries `reasoningTokens`
(normalized from `outputTokenDetails` or the deprecated field).
- client: pure `count-stream-tokens` (estimateTokens / liveTurnTokens, prefers
authoritative usage else estimate); `Thinking… · N tokens` in the typing
indicator; collapsible "Thinking" reasoning block; throttled (~8 Hz) live
turn-token header badge; `reasoningTokens` in types + Markdown export.
Review fixes folded in:
- v6 `finish-step.usage` is PER-STEP, not cumulative — the server now ACCUMULATES
a running sum (new pure `accumulateStepUsage`) and sends the cumulative, which
converges to `finish.totalUsage`, so the live counter never jumps DOWN on a
multi-step agent turn.
- reasoning double-count: the authoritative turn-total is attributed to a block
ONLY for a single-reasoning-part (one-step) turn; multi-step blocks each show
their own estimate (the authoritative total stays in the header).
- no "0" badge flash at turn start (require live > 0, else show context size).
- comment refreshed (finish-step trigger).
Tests: server `accumulateStepUsage` + updated `chatStreamMetadata` (34 in the
suite); client pure-fn tests. Both tsc clean; 162 client ai-chat + the ai-chat
server suite pass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Agent role cards always auto-sent a hardcoded "Take a look at the current
document" on pick. Make it configurable per role:
- autoStart (bool, default true): whether picking the role auto-sends a message.
- launchMessage (nullable text): the text sent on auto-start; empty -> the
built-in default. autoStart=false -> bind the role and send nothing (the user
types the first message, which still carries the roleId).
Existing roles default to autoStart=true / launchMessage=null => identical old
behavior.
Full-stack:
- migration 20260624T120000 adds `auto_start boolean NOT NULL DEFAULT true` +
`launch_message text` (additive; down drops both); db.d.ts updated by hand.
- DTO: autoStart (@IsBoolean) + launchMessage (trim @Transform, @MaxLength 2000).
- repo/service: thread + normalize (undefined=unchanged, ""=>null, autoStart??true).
Both fields exposed in the picker-view for ordinary members (they decide
whether/what to auto-send); instructions/modelConfig stay ADMIN-ONLY.
- client: IAiRole types, role form (Switch + Textarea, re-hydrated on edit),
handleRolePick branches on autoStart; i18n en-US + ru-RU.
Review follow-ups folded in: reset the `rolePickedNoSend` flag when the thread
returns to an empty role-less state (the "New chat after autoStart=false pick"
stuck-UI bug — render-phase one-shot reset); made create/update launchMessage
normalization symmetric (raw value, server normalizes ""→null).
Server: 68 role tests pass, tsc clean. Client: tsc clean, role tests pass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Resolves the open items from the latest PR #143 code review:
- test(page): cover the four agentSourceFields stamp sites (create, update,
movePage, movePageToSpace) with agent + normal-user payload assertions;
add findById({ includeIsAgent: true }) wiring guards to the JWT and collab
auth-seam specs so a future drop of the option is caught.
- fix(privacy): drop `isAgent` from UserRepo.baseFields and gate it behind a
new opt-in `findById({ includeIsAgent })`, requested only by the two auth
seams that derive provenance — stops the flag leaking via the workspace
member list and generic user payloads.
- docs: correct the agentSourceFields JSDoc and the two UPDATE-site comments
to distinguish INSERT (omitted column → DB default 'user') from UPDATE
(omitted column → existing value kept, Kysely writes only present keys).
- style(page): collapse three stray double blank lines left by an earlier edit.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Architecture & design:
- Arch A: introduce resolveProvenance() as the single source of truth for
deriving a write's actor/aiChatId from the SIGNED identity, and wire it into
BOTH transport seams — the REST jwt.strategy and the collab
authentication.extension. Previously the collab seam derived actor from the
token claim alone and ignored user.isAgent, so a flagged service account's
page-content edits over the websocket persisted as lastUpdatedSource='user',
drifting from REST. The seams now share one resolver and can't diverge.
- Arch B: drop AiAgentBadge's page-history coupling. The generic ui/ badge no
longer imports historyAtoms; it exposes an onActivate callback fired after the
deep-link, and the history row passes onActivate to close its own modal.
Suggestions/warnings:
- S1: soften the jwt.strategy provenance comment (applies to every REST write).
- S2/suggestion-3: drop the redundant comment-list-item null-aiChatId test
(covered by ai-agent-badge.test.tsx).
- S3: de-duplicate jwt.strategy.spec test #3 (the no-claim→'user' half
duplicated test #2); keep only the signed actor='agent' claim assertion.
- W2: add keyboard-activation tests for the badge (Enter/Space, unrelated key).
- W3: flip the design doc status to "реализовано (#143)".
Tests:
- new auth-provenance.decorator.spec.ts unit-tests resolveProvenance +
agentSourceFields.
- new collab-seam test: is_agent user with no claim → actor='agent'
(Arch A regression guard).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The agent write-stamp idiom — `...(isAgent ? { <source>: 'agent', <chat>: aiChatId } : {})`
— was hand-reimplemented at every REST write site, so each new path risked a
wrong literal or a forgotten aiChatId. Extract a single
`agentSourceFields(provenance, sourceKey, chatKey)` next to AuthProvenanceData and
call it at the 5 uniform spread sites:
- comment.service create -> createdSource / aiChatId
- page.service create/update/orphan-move/move -> lastUpdatedSource / lastUpdatedAiChatId
Sites that must CLEAR the source on a non-agent action keep their own conditional
(comment un-resolve writes an explicit null), and the collab persistence path keeps
its sticky-window logic — both noted in the helper's doc.
Behavior-preserving (the helper returns the identical object/`{}`). Typecheck
clean; server comment/page/auth/collab suites 246 pass.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- [warn 1] Document the is_agent operator setup so it survives plan deletion:
added an AI-agent block to .env.example (use a DEDICATED account, set is_agent
via SQL, never flag a human/shared account) + a CHANGELOG "Added" entry.
- [warn 2] Test the badge deep-link side effects: ai-agent-badge.test.tsx now
renders inside an explicit jotai store, clicks the badge, and asserts the
active chat id, window-open, cleared draft, closed history modal, AND that
stopPropagation keeps a parent onClick from firing.
- [suggestion 3] Hoist the window.matchMedia stub into vitest.setup.ts and drop
the duplicated beforeAll block from the three test files (ai-agent-badge,
comment-list-item, role-cards).
- [suggestion 4] Merge the two near-duplicate "non-clickable" cases via it.each.
- [follow-up 6] Introduce a single ProvenanceSource = 'user' | 'agent' type in
jwt-payload.ts and reference it from AuthProvenanceData, JwtPayload/
JwtCollabPayload, and resolveSource() — so a typo can't slip through as a bare
string. (Server auth chain; client IComment mirroring left as a follow-up.)
Follow-up 5 (shared agentSourceFields write-stamp helper) is deferred as the
review marked it — the 6 REST sites use varied shapes (create-spread vs
resolve-conditional-null vs page move), so it's a separate focused refactor.
Tests: client badge/comment/role-cards suites 11/11 pass; server auth+comment
suites 62 pass; typecheck clean.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The custom undici RetryAgent + aiFetch transport added for issue #140
did not actually heal mid-stream provider drops: undici's retry path is
a Range-based download-resume that SSE/chat-completions endpoints cannot
satisfy, so a reset after the first byte only swapped ECONNRESET for a
"server does not support the range header" error. Its only real effect
was reconnecting a poisoned keep-alive socket before the first byte, and
PR #141 on top of it turned the 60s headers timeout into deterministic
~61s failures (plus CONTENT_LENGTH_MISMATCH from retrying a POST body
after a timeout abort). The root cause is the z.ai coding endpoint, not
our transport.
Remove the whole layer and return all AI provider calls to Node's
default global fetch.
- delete integrations/ai/ai-http.ts and its spec
- ai.service.ts: drop the aiFetch import, the AI_BYPASS_RESILIENT_FETCH
diagnostic toggle, and fetch:aiFetch from every chat/embedding/STT
factory; raw STT call back to global fetch
- ai-chat.controller.ts: drop the stream-timing START log + startedAt
- ai-chat.service.ts: drop the first-chunk/FINISHED/ERROR timing logs
- .env.example: drop AI_BYPASS_RESILIENT_FETCH
Reverts: 1af5d34a, 7c308728, b7abb7ea, 35fc58ea, d6cd2754, 6efb8656.
Preserved (not part of the rollback): client-disconnect abort, title
generation in onFinish, partial-answer persistence, Safari SSE heartbeat.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Mark comments (and, via existing page provenance, pages) created under an
is_agent service account as authored by AI, derived from the SIGNED server
identity rather than any client field, and render the existing AI badge in
the comments sidebar.
Backend (B1):
- Add additive users.is_agent boolean (default false) migration; reflect in
the Users Kysely type, the user repo baseFields, and (via Selectable) the
User entity.
- jwt.strategy: derive req.raw.actor from user.isAgent (an is_agent account
stamps every write 'agent'); external MCP has no internal ai_chats row so
aiChatId stays null. Non-spoofable: a plain user cannot obtain
created_source='agent'.
- Loosen the provenance aiChatId type to string|null across token.service and
the JwtPayload/JwtCollabPayload claims (type-level only; the internal AI-chat
path still passes a real aiChatId).
Frontend (B2):
- Extend IComment with createdSource/aiChatId/resolvedSource (backend already
returns them via selectAll).
- Extract the local AiAgentBadge from history-item into a shared
components/ui/ai-agent-badge.tsx (clickable deep-link when aiChatId present,
plain label when null/absent); reuse it in history-item and render it in
comment-list-item next to the author name when createdSource==='agent'.
Tests: comment.service agent/null-aiChatId provenance, jwt.strategy provenance
derivation + anti-spoof, AiAgentBadge clickable/non-clickable branches, and
comment-list-item badge render/no-render.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Adds co-located unit tests for ten targets (client → vitest *.test.ts(x),
server → jest *.spec.ts), plus minimal behavior-preserving extractions/exports
where the issue required a pure function to test:
- encode-wav: WAV header + PCM16 clamping
- editor-ext embed-provider / utils (sanitizeUrl, isInternalFileUrl) / indent
(export clampIndent)
- label.dto @Matches regex
- move-page.dto vs generateJitteredKeyBetween parity (bug locked via test.failing)
- new-note-button canCreatePage (extracted to can-create-page.ts)
- history-editor diff (extracted pure computeHistoryDiff into history-diff.ts)
- notification getTypesForTab + repo contract (direct-tab divergence locked via
test.failing)
- search buildTsQuery (extracted + sanitizes operator inputs so adversarial
queries no longer risk a to_tsquery 500)
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Extend ai-http.spec with two loopback-server tests: a provider that stalls
without sending headers triggers the (lowered) headersTimeout and is retried on a
fresh connection, recovering; a healthy fast response passes through in one
attempt. No external network calls.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
