The only test command in CI was `pnpm -r test` (unit `.spec.ts` on mocks).
`test:int` (`.int-spec.ts`, real Postgres/Redis) ran nowhere in CI — there
were no DB `services:` — so the cost-cap, FK-cascade, jsonb round-trip and
real AI-apply integration tests never gated a PR, and regressions in those
high-severity paths stayed green (red-team finding #7).
Add `services: postgres (pgvector) + redis` and a `pnpm --filter server
test:int` step. The pgvector image is required because migrations create
vector columns and global-setup runs `CREATE EXTENSION vector`. Service
credentials/db match the defaults in apps/server/test/integration (docmost /
docmost_dev_pw, maintenance db `docmost`, redis 6379), so no TEST_*_URL
overrides are needed; global-setup drops/recreates the isolated docmost_test
DB and migrates it.
NOTE: the workflow change itself can only be validated by an actual CI run
(YAML parses locally); the int-spec suite is verified passing locally on this
branch.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Docmost duplicates block ids on copy/paste, and copyPageContent writes the
source document verbatim with the same ids. `patchNode`/`deleteNode` address a
block by `attrs.id` via replaceNodeById/deleteNodeById, which act on EVERY node
sharing the id — so a single patch_node/delete_node could silently
replace/remove multiple unrelated blocks with no signal to the model
(red-team finding #6).
Guard both write paths: when more than one node matches the id, skip the write
entirely (the transform returns null -> no mutation) and throw a clear
"ambiguous id — N nodes share it" error so the model re-targets with a more
specific anchor. Only an unambiguous single match is written; the 0-match and
1-match behavior is unchanged.
The duplicate-count basis is covered by node-ops.test.mjs (replaceNodeById /
deleteNodeById report count===2 for a 2-duplicate doc). The end-to-end guard
is not unit-tested because patchNode/deleteNode require a live collab provider
and the test suite has no provider mock.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
After #166 a repeated `[^a]` is one footnote (reuse): one number, one
definition, N forward links. But the definition's ↩ only returned to the
FIRST reference. Now a definition with N references shows ↩ a b c …, each
backlink scrolling to its own occurrence (Pandoc/Wikipedia convention); a
single-reference footnote keeps the plain ↩ unchanged.
- editor-ext: `computeFootnoteRefCounts(doc)` (id -> occurrence count) cached
alongside the number map in the numbering plugin state; `getFootnoteRefCount`
getter (O(1), no per-render doc walk). `scrollToReference(id, index?)` picks
the index-th `sup[data-footnote-ref][data-id]` occurrence (document order),
falling back to the first.
- client: FootnoteDefinitionView renders one lettered link (a, b, c, … aa …)
per occurrence when refCount > 1; the chrome stays after the contentDOM so
the #146 caret invariant holds. i18n keys (ru) added.
Tests: computeFootnoteRefCounts + getFootnoteRefCount (reuse counts, unknown
id => 0); structure test gains 3 cases (N lettered links render, click jumps
to the n-th occorrence, single ref => one ↩). NOTE: the visual layout of the
backlink row needs a real browser to verify (jsdom can't); the structural and
behavioral contract is covered headless.
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>
`mutateLiveContentUnlocked` — the write path used by `replaceImage` — still
did the pre-#152 destructive write (delete the whole fragment + applyUpdate a
fresh Y.Doc), discarding every Yjs node id. y-prosemirror anchors the editor
selection to those ids, so an open editor's cursor snapped to the document
end on every image swap, exactly the #152 jump that the main write path no
longer causes.
Switch it to the same `applyDocToFragment(ydoc, newDoc)` structural diff
(updateYFragment) as the main path, so unchanged nodes keep their ids and the
live cursor stays put. It runs its own atomic transact, so the old explicit
transact/delete is gone; the now-unused docmostExtensions import is dropped.
Regression tests (cursor-stability suite): a sibling paragraph's
RelativePosition survives a top-level image src/attachmentId swap, and an
image nested in a callout, matching the shapes replaceImage produces.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The "Thinking" (reasoning) block rendered with large vertical gaps: models
emit reasoning with a blank line (\n\n) between every list item and
paragraph, which `marked` turns into loose lists (each <li> wrapped in a
<p>) and separate <p> paragraphs, each carrying a margin.
- Add `collapseBlankLines(text)`: collapse 2+ newlines to one, EXCEPT inside
fenced code blocks (``` / ~~~) where blank lines are significant. Applied
in reasoning-block.tsx before renderChatMarkdown, so loose lists become
tight (no <li><p>) and paragraphs join; `breaks: true` keeps single \n as
<br>, preserving line breaks. Reasoning-only — the normal answer is
untouched.
- Drop `white-space: pre-wrap` from `.reasoningText`: on the rendered
markdown <div> it turned the newlines between block tags into visible
blank lines on top of the margins. The plain-text fallback <Text> that
needs pre-wrap already sets it inline.
Tests: collapseBlankLines unit (collapse, fence preservation incl. tilde and
unclosed fences) + rendered-HTML assertions that a blank-line-separated list
becomes a tight list and still parses as a list after a paragraph.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The header token badge (and the "Thinking… · N tokens" line) froze between
agent steps and jumped in chunks instead of ticking smoothly. liveTurnTokens
returned the authoritative server `usage` VERBATIM as soon as it appeared, but
the server only attaches usage at a step boundary and it is cumulative over
COMPLETED steps — so during the next (in-flight) step the figure stayed frozen
at the previous boundary and the running text estimate was ignored.
Combine both sources per component via max: always compute the running estimate
(chars/≈4 over the message's reasoning/text parts, which includes the in-flight
step) and take max(authoritativeBase, estimate). Between boundaries the estimate
ticks the number up; at a boundary the authoritative figure snaps it exact; and
because the server usage is cumulative and we only ever take the max, the counter
is monotonic (never drops). Reasoning/output stay split; the #151 reasoning-only
authoritative count is preserved.
Backward compatible: in every existing test the estimate is <= the authoritative
figure, so max returns the same value. +4 tests for the in-flight-step-exceeds-
base case (output + reasoning), the authoritative-wins case, and monotonicity.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Assistant answers containing GFM tables rendered badly in the narrow AI
side panel: `.markdown` only styled p/pre/code/ul/ol and had no table
rules, so tables used the browser default `table-layout: auto`. Combined
with the inherited `word-break: break-word`, columns collapsed to a
single glyph and headers wrapped mid-word ("Секция" -> "Секци / я").
Add table styling scoped to `.markdown`, in line with the editor's
table.css house style:
- make the table a horizontally scrollable block (display:block +
overflow-x:auto) so wide tables scroll instead of squishing;
- give cells a 6em min-width and restore word-boundary wrapping
(word-break:normal + overflow-wrap:break-word);
- add 1px borders, padding and a th background (light-dark for dark
mode); zero out the default <p> margin inside cells.
CSS-only; no markdown-pipeline change (marked already emits GFM tables,
DOMPurify already allows table tags). Applies to the public share too.
Co-Authored-By: Claude Opus 4.8 <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>
The "Copy chat" button was hidden during a brand-new chat's very first
turn: both the `canExport` gate and the `handleCopy` early-return required
an `activeChatId` AND persisted `messageRows`, neither of which exists yet
while the first turn is streaming or after it was interrupted before any
row was persisted.
Decouple the export gate from persisted state. ChatThread now reports a
reactive `onLiveContentChange(messages.length > 0)` signal (the live
snapshot lives in a non-reactive ref, so a separate reactive flag is
needed to re-render the button); the parent keeps it in `hasLiveContent`
and exports whenever there is anything on screen OR persisted. `handleCopy`
passes a `"unsaved"` placeholder chat id when none exists yet, and the
live-first builder serializes the on-screen thread WYSIWYG.
Builds on #160 (WYSIWYG export); covers the first-turn edge case that was
explicitly out of scope there.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
"Copy chat" built the Markdown from persisted rows plus a live tail that was
only included while isStreaming. When a turn was interrupted (dropped stream /
"Lost connection" banner) isStreaming flipped false, the live tail was dropped,
and the partial assistant reply visible on screen — whose row often never
persisted — vanished from the export, leaving only the user messages.
- buildChatMarkdown is now live-first: the on-screen `live` messages ARE the
document. Each is matched to a persisted row by id to enrich it with token
usage / error / timestamp; authoritative usage/error already on the live
message win over the row. When `live` is empty it falls back to the persisted
rows (old format preserved). Only the tail assistant is flagged "still
generating", and only when it is genuinely the streaming tail — so the
status==="submitted" window (tail is the user message) never mislabels the
previous, completed answer.
- The on-screen banner (classified error / dropped connection / manual stop) is
flattened to a string in ChatThread, mirrored into liveStateRef alongside the
messages/isStreaming snapshot, and appended at the end of the export.
- handleCopy maps the live messages and passes live/rows/isStreaming/banner.
Tests: chat-markdown rewritten for the live/enrichment/fallback/banner paths and
the submitted-window regression (26); full ai-chat suite green (186). tsc clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
showTypingIndicator hid the standalone thinking dots for any non-empty
trailing text part, so during the pause after the model finished an
intermediate narration and before its next step (e.g. a tool call) the
UI looked frozen. Suppress the dots only while the text part is still
streaming: a finalized ("done") trailing text part on an in-flight turn
now shows the dots again, matching the function's documented intent.
- message-list: guard the text branch with state !== "done" (AI SDK v6
TextUIPart.state); stateless parts keep their previous behavior
- show-typing-indicator.test: add done -> shown and streaming -> hidden cases
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The name label was crowding the bouncing dots when displayed. Adding extra bottom margin (mb={8}) gives the dots room and improves readability. The change only applies when the name is shown.
- 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 live typing placeholder now shows only the bouncing dots; the
"Thinking… · N tokens" line is removed. Clean up the dead plumbing:
- typing-indicator: remove thinkingTokens prop, thinkingLine and the
<Text> line; keep the animated dots and the dimmed name label
- message-list: remove tailThinkingTokens helper, the thinkingTokens
prop pass-through, and the now-unused liveTurnTokens import
- delete tail-thinking-tokens.test.ts (tested the removed helper)
Co-Authored-By: Claude Opus 4.8 <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>
Follow-up to the merged #166/#169. Addresses the second review pass (comment
1227):
- footnoteWarnings plumbing: extract a single `footnoteWarningsField(markdown)`
helper (footnote-analyze) and use it at all three call sites (create_page,
update_page, import_page_markdown) so the field is attached identically.
- New unit test footnote-warnings-import.test.mjs pins the contract that was
uncovered: the field is present on problems / omitted on clean input, and the
IMPORT path analyzes the BODY after the docmost:meta / docmost:comments blocks
(a footnote-like token inside those JSON blocks must NOT warn; a real body
marker must). Tested via the same pure composition the importer uses
(footnoteWarningsField(parseDocmostMarkdown(full).body)) — no collab socket
needed; a regression that analyzed fullMarkdown or skipped the body split would
now go red.
- footnote.marked.ts: correct the stale module header — it claimed "only
definitions that have a matching reference are emitted", which was never true
(orphan defs are emitted; the editor sync plugin reconciles). Now describes
first-wins + reuse + sync reconciliation.
- derive-id golden test: rename the describe from "(cross-package drift guard)"
to "(deterministic-scheme pin)" — there is no second package to drift against.
editor-ext 129, MCP 304 (+3), client+server tsc clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- footnote-sync: remove the now-dead `refReids` (CollisionPlan field, local,
return, the 6a consumer loop) — references are never re-id'd under reuse, so it
was dead structure on the hot reconciliation path. Rewrite the stale comments
(plugin header, step 0, refOccurrences field) that still described the old
"duplicates re-id'd so both survive" model to the reuse model.
- Shared footnote lexer: new packages/mcp/src/lib/footnote-lex.ts
(lexFootnoteLines + forEachFootnoteReference). extractFootnotes (collaboration)
and analyzeFootnotes now consume the SAME fence-aware lexer, so "the analyzer
sees exactly what the importer keeps/strips" is structural, not comment-kept.
Removed the duplicated DEF_RE/fence machine from both consumers.
- Tests: new mock test for the footnoteWarnings plumbing on createPage (problems
-> field present; clean -> omitted); new paste-reuse case for TWO colliding
pasted definitions (reservation -> distinct ids). Updated the derive-id golden
test header (no MCP copy / parity test anymore).
- CHANGELOG: [Unreleased] entries for footnote reuse (Changed, supersedes 0.93.0)
and footnoteWarnings (Added).
editor-ext 129, MCP 301, server roundtrip 2; client+server tsc clean.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Footnotes were strict 1:1: a repeated `[^a]` reference was treated as a
collision and re-id'd to `a__2`, and a reference with no definition synthesized
its own empty one — so an agent-authored article with reused labels produced
dozens of empty `kowiki__N` footnotes. Move to Pandoc REUSE semantics and add
non-fatal import diagnostics.
Reuse (core):
- resolveCollisions (footnote-sync): repeated references sharing an id are REUSE
(recorded once in document order, never re-id'd) — one number, one shared
definition. Only a duplicate DEFINITION is re-id'd deterministically and, with
no matching reference, dropped by the existing orphan policy (first-wins).
CollisionPlan.refReids is now always empty (harmless no-op downstream).
- extractFootnoteDefinitions (marked) and extractFootnotes (MCP): duplicate
definition ids are FIRST-WINS (keep first, drop rest); reference markers are
never rewritten. Removed the marker-rewriting and the now-dead deriveFootnoteId
mirror + helpers from the MCP path.
Import diagnostics:
- New analyzeFootnotes() (MCP): fence-aware pure scan reporting dangling
references, empty/duplicate definitions and `[^id]` markers inside table rows.
- createPage / updatePage / importPageMarkdown now attach `footnoteWarnings`
(only when non-empty) so an agent can fix its markup; the page is still created.
Paste-reuse:
- footnotePastePlugin remaps only ids the pasted slice DEFINES (a colliding
definition); a pasted lone reference to an existing id keeps it (reuse).
Tests: reuse/first-wins rewrites of footnote.test, footnote-markdown.test,
footnote.marked.orphan.test and the MCP footnotes.test; new footnote-paste.test
(editor-ext) and footnote-analyze.test (MCP). Deleted derive-id-parity.test.mjs
(the MCP no longer derives ids; editor-ext's deriveFootnoteId keeps its own
golden test). editor-ext 128, MCP 299, server roundtrip 2, client views 3,
client+server tsc clean.
Two review suggestions applied: corrected a stale "duplicated in MCP" comment and
the dangling-reference warning wording.
Note: the multi-backlink editor UI (a reused definition linking back to each of
its references) is deferred to a follow-up — this PR delivers the data-integrity
core (reuse + warnings + paste-reuse). Forward links and numbering already reuse
correctly; the backlink currently targets the first reference.
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>
Addresses the approve-with-comments review on PR #154:
- applyDocToFragment: hydrate PMNode.fromJSON in its OWN try so a hydration
failure (e.g. an unknown node type) is labelled "fromJSON" — the stage that
actually threw — instead of the misleading "updateYFragment". The diagnostic
comment on unstorableYjsError ("label names the stage that failed") is now
truthful.
- assertYjsEncodable: also rehearse PMNode.fromJSON(docmostSchema, …) so a doc
that would only fail in apply's hydration step is rejected at preview time too,
narrowing the preview/apply gap (review suggestion B). Still cheap — no live
fragment, no updateYFragment.
- Tests: relabel the diagnostic test to (fromJSON); add structural-diff edge
cases — neighbour deletion keeps the unchanged node's cursor anchor, doc->empty
clears the fragment without throwing, top-level node-type change diffs in
place — plus a preview-gate test for the new fromJSON rehearsal. 297/297 green.
build/ rebuilt for the changed lib module only (build/client.js left untouched
to avoid pulling in pre-existing unrelated src/build drift).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Extract buildSubtree/mapSharedNodes/countNodes/SubpageNode into
subpages-view.utils.ts with a unit test (subpages-view.utils.test.ts)
covering nesting, position order, missing/unreachable parent, self-parent
guard, empty input, countNodes and mapSharedNodes remap.
- Replace the manual useState + editor.on("transaction") subscription in
subpages-menu.tsx with useEditorState (the idiom the sibling bubble menus
use), so the mode icon/tooltip track the live recursive attribute without
re-rendering on every keystroke.
- i18n: add the 6 menu/tree strings and a pluralized
"Showing {{count}} subpages" key to en-US and ru-RU.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
The `subpages` node showed only one level of direct children. Add a `recursive`
attribute that renders the FULL descendant tree of the current page — fully
expanded, unlimited depth. Default `false`, so every previously-inserted node
stays flat (backward compatible). No backend changes: `POST /pages/tree` (via the
`getSpaceTree` wrapper) already returns the whole subtree as a flat `IPage[]`
(recursive CTE, permission-filtered); the nested tree is built on the client by
`parentPageId`.
- editor-ext `subpages.ts`: `recursive` attribute (parse/render `data-recursive`),
shared by client + server so the collab ProseMirror schema keeps the attribute.
- `getSpaceTree`: arg loosened to `{ spaceId?; pageId? }` (the endpoint accepts
either); new `useGetPageTreeQuery(pageId)` react-query hook.
- `subpages-view.tsx`: split into `FlatSubpages` (unchanged) and
`RecursiveSubpages`; `buildSubtree` assembles the nested tree (cycle/self-parent
guard, `sortPositionKeys` per level, root excluded) and a recursive `TreeNode`
renders it (16px indent per depth, soft "showing N" note past 300 — data never
capped). Shared/public context reads the already-nested shared tree, no
`/pages/tree` request.
- toggles: bubble-menu flat⇄tree button + a second slash-menu item "Page tree".
Review follow-ups folded in: invalidate `["page-tree"]` from the create / update /
move / delete cache helpers so an open recursive tree refreshes (no stale data);
mode icon made reactive on editor transactions; `t` threaded into `TreeNode`
(no per-node useTranslation); shared-subtree hook deduped to a thin alias.
editor-ext build + client `tsc --noEmit` both clean. Backend untouched.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Per review: the file's other :global is locally scoped (.container:global(...)),
but the new float-reset media rule was fully global in a *.module.css. Scope it to
.container — the image node-view container carries BOTH the .container class and
the data-image-align attribute (same element), so behavior is unchanged while the
selector no longer leaks globally.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Review of #158 (Request changes) — core logic verified correct; addressed the
test-coverage + localization items:
1. i18n pluralization: the token-count keys were called with {count} but had one
form, so ru-RU always rendered the genitive ("1 токенов"). Added _one/_other
(en) and _one/_few/_many (ru: токен/токена/токенов) for both "Thinking… ·
{{count}} tokens" and "Thinking · {{count}} tokens"; de-duped the PR-added
duplicate "Thinking" key. Call sites unchanged.
2. ReasoningBlock: new reasoning-block.test.tsx (4 branches: authoritative count
wins / estimate fallback / header-only when count-but-no-text / body render).
3. Reasoning-token attribution: extracted the #151 anti-double-count rule into a
pure `reasoningTokensForPart(message)` (single reasoning part -> authoritative
turn total; multiple/none -> undefined so each estimates). message-item uses
it; removed the now-dead lastReasoningIndex reduce (review #5). Unit-tested.
6. adopt-chat-id.ts: refreshed 3 stale `chatStreamStartMetadata` ->
`chatStreamMetadata` comment references.
7. chat-markdown.test.ts: assert the export footer's `reasoning: N` line appears
when reasoningTokens>0 and is absent at 0/undefined.
Skipped optional #4 (mantine useThrottledCallback): the manual throttle has two
distinct exit paths (turn-end revert-to-null + the captured-total trailing emit)
with no guarding test; remapping risks the streaming behavior — non-blocking.
Client tsc clean; ai-chat suite green (171 tests).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Review of #154 (Request changes) — all clean follow-ups, no defect in the fix:
1. Single source of the ProseMirror schema: export `docmostSchema` from
docmost-schema.ts (next to docmostExtensions); diff.ts and collaboration.ts
import it instead of each calling getSchema(docmostExtensions) — the schema
can no longer drift between call sites. Removed both local builds + the now
unused getSchema imports.
2. Doc fix: assertYjsEncodable's docstring and the client.ts comment no longer
claim "the same encoder as apply" — apply uses updateYFragment, the dry-run
uses toYdoc; both reject the same unstorable attrs but are NOT byte-identical.
Reworded to "independent encodability gate".
3+4+5. Extracted `unstorableYjsError(safe, label, e)` — buildYDoc and
applyDocToFragment now share one message template (label kept for diagnostics:
toYdoc vs updateYFragment), so the wording can't drift between dry-run/apply.
6. Test for applyDocToFragment's catch branch: an unknown node type makes the
schema-validated PMNode.fromJSON throw, and the function must re-throw it
wrapped with the (updateYFragment) diagnostic.
build/ rebuilt for the three changed lib modules; 293 package tests green.
(Left build/client.js untouched: rebuilding it would pull in a pre-existing,
unrelated src/build drift — a listSidebarPages slugId fix never rebuilt on
develop — and my client.ts change there is comment-only.)
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Review of #157 (Request changes) caught two blockers:
1. DEAD responsive CSS: the `@media (max-width:600px)` float-reset was added to
`image-resize.module.css`, which is imported NOWHERE — the image container's
classes come from `common/node-resize.module.css` (via buildResizeClasses).
So on mobile a floated image kept its px width + float and crushed the text,
exactly the failure the rule promised to prevent. Moved the rule to
`common/node-resize.module.css` (the module actually imported by the resize
node views); its `:global([data-image-align=...])` selectors are data-attr
based, so they work unchanged. Reverted the dead addition from the (pre-existing,
orphaned) image-resize.module.css.
2. `applyAlignment` was untested. Exported it and added `image.spec.ts` (vitest/
jsdom) covering all five align values, the data-image-align mirror, and the
floatLeft -> left reset-then-apply (the guard against a leaked float).
Switched the float writes to the canonical CSSOM `cssFloat` property (portable:
browsers + jsdom; behavior identical to the `.float` alias).
editor-ext build + client tsc clean; 6 image.spec tests green.
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>
