* docs: add spider2-specs handoff directory for benchmark-driven feature specs
* feat(cli): connection-scoped wiki pages
Add an optional `connections` frontmatter field so database-specific wiki
knowledge can be scoped to a connection without polluting searches about other
databases, while page keys stay a flat, globally-unique namespace.
- connections: single string or list; absent/empty ⇒ unscoped (applies to all)
- wiki_search (MCP) and `ktx wiki --connection` return unscoped ∪ matching
pages, filtered at the disk-load seam so all three search lanes draw their
candidate pool from the already-scoped set (not a post-filter)
- wiki_write accepts connections with REPLACE semantics and rejects a
connection-scoped write whose key collides with a disjoint-connection page
(data-loss guard; hard error, no silent clobber)
- explicit connection-id args (wiki_search, memory_ingest, ktx wiki) are
validated against ktx.yaml via a shared assertConfiguredConnectionId, which
also closes the prior gap where memory_ingest's connectionId was unvalidated;
persisted ids absent from config warn (not fail) in `ktx status`
- prompt guidance in the wiki_capture skill and external-ingest prompt; the
session connectionId is surfaced to the memory agent and ingest work units
Implements spider2-specs/specs/01-connection-scoped-wiki.md; intake draft moved
to spider2-specs/done/.
* docs(spider2-specs): add specs/ refinement stage and composite-key join spec
Describe the todo/ → specs/ → done/ pipeline in the README (refined specs are
the durable artifact; intake drafts move to done/ on ship) and add a
MEDIUM-priority spec for multi-column composite-key join detection found during
the first sqlite smoke test.
* feat(cli): add --verbatim ingest mode for authoritative documents
Store each --text/--file document body unchanged as a GLOBAL wiki page
instead of routing it through the memory agent, which may rewrite,
condense, or re-title it. The LLM derives only metadata (summary, tags,
sl_refs) and only for frontmatter fields the document does not already
set; the stored body is written by code and never edited.
- Deterministic page key: files derive it from the filename, inline
text from its leading Markdown heading (headless inline text is
rejected — pass it as --file instead).
- Idempotent: re-running the same body is a no-op; a different body at
the same key fails loudly rather than overwriting.
- Works with llm.provider.backend: none, deriving a degraded summary
from the heading or first sentence.
- Existing frontmatter (including unmodeled fields like effective_date)
passes through untouched; --connection-id scopes the page.
* feat(cli): SQL-authoring craft and per-dialect notes tool for the analytics skill
Spec 07: add a dialect-agnostic <sql_craft> block to the ktx-analytics skill (schema discovery, composition, window-function correctness, numeric precision, answer completeness) with one worked window-then-filter example. Workflow steps gain pointers into it; existing guidance is unchanged.
Spec 08: add a read-only sql_dialect_notes MCP tool returning a connection's engine SQL conventions (FQTN form, identifier quoting/case, date/time, top-N idiom, JSON access), resolved through the existing sqlAnalysisDialectForDriver path. Notes are per-dialect markdown files under context/sql-analysis/dialects, served by the tool and copied to dist (package-internal, never installed). Non-SQL connections return a clear KtxExpectedError. The flat skill gains a one-line pointer to the tool.
Both spider2-specs intake drafts move to done/ with implementation notes.
* feat(cli): tolerate objects that fail introspection during scan
Isolate per-object introspection failures so one broken or inaccessible object no longer zeroes out a connection's whole semantic layer: the sqlite and bigquery connectors introspect each object defensively (tryIntrospectObject), the live-database adapter records a scan outcome and fetch report, and enabled_tables accepts catalog.db.name, db.name, or bare names with a clear no-match error. Includes matching ktx-daemon introspection changes, docs, and tests.
* docs(spider2-specs): add 06-scan-tolerate-broken-objects spec
* feat(cli): generalize analytics fan-out rule to multi-hop join chains
The ktx-analytics skill's fan-out rule only reliably caught single-hop
inflation; agents still silently fanned out on multi-hop chains where the
offending one-to-many join sits several hops below the SUM/COUNT and is easy
to miss.
Rewrite the Composition rule so the danger reads as cumulative across the whole
chain (pre-aggregate per measure-owning table), add an affirmative
grain-verification habit (default: pre-aggregate to grain; escape hatch:
COUNT(DISTINCT key) for pure counts only; SUM/AVG of a fanned-out measure must
pre-aggregate), and add one generic wrong-vs-right worked example. Content-only
and dialect-agnostic; no new tool, flag, or config.
Implements spider2-specs/specs/09 and annotates spec 07's one-example
constraint as superseded.
* feat(cli): add panel-completeness, time-series window, and text-encoded numeric SQL craft
Extend the analytics skill's <sql_craft> with three correctness habits and
route the dialect-specific halves through sql_dialect_notes:
- Panel completeness (spec 10): full-domain spine -> LEFT JOIN -> COALESCE for
"each/every/all/per" questions, defaulted by measure additivity.
- Time-series windows (spec 11): explicit cumulative frames, calendar-range
rolling windows with minimum-periods guards, and period-over-period via LAG.
- Text-encoded numerics (spec 12): sample distinct values, strip/scale/cast in
one early CTE, and confirm coverage with a failure-detecting cast.
Add per-dialect Series, Rolling window, and Safe cast notes to all seven
dialect files so the skill stays dialect-agnostic while the engine-specific
syntax lives in sql_dialect_notes. Tests updated and passing (19).
* docs(spider2-specs): add specs 10-12 for analytics SQL-craft additions
Refined specs and completion records for the panel-completeness spine (10),
time-series window recipes (11), and text-encoded numeric parsing (12)
implemented in the preceding commit.
* docs(spider2-specs): add backlog intake drafts 13-14
- 13: canonical authoritative-source measures
- 14: output-completeness final check
* skill(analytics): spec 14 output-completeness + iter1 (active column planning)
Bundles two changes (entangled in SKILL.md; future spider2 iterations land as
separate commits):
- spec 14 (output-completeness): multi-part "answer every requested output" rule
+ a "Final completeness check" in workflow Step 6 and <sql_craft>; analytics
skill-content test updated; intake draft -> done/, refined spec added.
- iter1 experiment: spec 14's passive end-check did not change behavior on the
benchmark's output-completeness failures, so (a) the Plan step now writes the
exact output-column list UP FRONT as a contract the final SELECT must match,
and (b) "expose identity" -> "project BOTH the entity id and its name" (covers
both omission directions). All generic craft.
Driven by the Spider 2.0-Lite failure analysis (incomplete output was the
largest failure bucket); benchmark only as motivation.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* skill(analytics): iter2 — deterministic order in string/array aggregation
GROUP_CONCAT/string_agg/array_agg element order is undefined without an explicit
ORDER BY; also note SQLite's default text sort is binary/case-sensitive (uppercase
before lowercase) vs case-insensitive (COLLATE NOCASE). Generic SQLite craft.
Spider 2.0-Lite motivation: an ordered-ingredient-list question failed only on the
within-string element order (right elements, wrong order); benchmark as motivation only.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* feat(mcp): structured, leveled logging for the MCP server
Add one synchronous pino logger per MCP server process, written through the
io.stderr sink: plain JSON when stderr is not a TTY, colorized pino-pretty
(sync, in-process) when it is. Every tool call logs tool.start with its raw
params BEFORE the handler runs and tool.end after (info / warn past
KTX_MCP_SLOW_TOOL_MS / error), correlated by callId plus sessionId, so a
runaway sql_execution leaves a recoverable start line with its exact SQL and
no matching end. HTTP logs session.open/close and wires the previously-dead
transport.onerror to transport.error; stdio routes its transport error
through the logger. Level via KTX_MCP_LOG_LEVEL (default info). Existing
mcp_request_completed telemetry and registerParsedTool are unchanged; no
worker/async transport and no redaction in v1 (logs are local-only).
Implements spider2-specs/specs/15-mcp-server-structured-logging.md and moves
the intake draft to done/.
* feat(mcp): report uptimeMs in MCP server /health
The /health endpoint now includes uptimeMs (monotonic elapsed time since
the server started), mirroring the Python daemon's uptime_ms telemetry
field.
* feat(cli): bound read-query execution with a per-connection deadline
Enforce one shared query deadline (default 30s, overridable per connection via
query_timeout_ms) on every executeReadOnly path, so an accidentally-expensive
LLM-authored query returns a fast "query exceeded Ns" KtxQueryError instead of
hanging the MCP server.
- New shared contract context/connections/query-deadline.ts
(resolveQueryDeadlineMs, queryDeadlineExceededError); query_timeout_ms added to
the shared warehouse schema; BigQuery's job_timeout_ms removed.
- SQLite runs the read query in a short-lived forked child process and enforces
the deadline with SIGKILL. worker_threads + terminate() was tried first but
cannot interrupt a synchronous better-sqlite3 scan (the native loop never
yields); SIGKILL reclaims the process in ~2ms and keeps the event loop free.
- Remote connectors apply a real server-side statement timeout and re-wrap their
own timeout signal as KtxQueryError: Postgres statement_timeout/57014, MySQL
max_execution_time/3024, Snowflake STATEMENT_TIMEOUT_IN_SECONDS/604, ClickHouse
max_execution_time + aligned request_timeout/159, SQL Server requestTimeout/
ETIMEOUT, BigQuery jobTimeoutMs.
- Relationship validation skips a candidate to review on a deadline timeout
instead of aborting the pass; the deadline surfaces through the existing MCP
pino logger as a matched tool.start/tool.end(error) pair (no new logging code).
Also fixes a pre-existing, unrelated invalid cast in mcp-server-factory.test.ts
that was breaking tsc -p tsconfig.test.json.
* docs(spider2-specs): mark spec 16 (bounded query execution) done
Append Implementation notes to the refined spec (what shipped, where, and the
worker-thread -> child-process+SIGKILL deviation with its evidence) and move the
intake draft from todo/ to done/.
* skill(analytics): iter3 — measure-as-amount, inter-event gap, top-per-metric career
Three generic interpretation rules: a named business measure (sales/revenue/spend)
means its amount not a row count; "inter-event duration/gap" is LAG/LEAD time-between
events not a magnitude column; "highest across several achievements" aggregates per
metric over the whole history. All three demonstrably FIRE (verified on local008/003/152
SQL). local008 flips to correct (mechanism-aligned). 003/152 still fail on a different
axis (source-column / grouping). Generic craft; benchmark only as motivation.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
* skill(analytics): spine-for-extreme-selection + aggregate-over-selected-set
Two generic answer-completeness refinements:
- Selecting the extreme group (lowest/highest count over a period/category
domain) must rank over the COMPLETE spine, not only groups with fact rows —
an empty period is a genuine 0 and often the true minimum.
- An aggregate scoped to a per-entity selected set ('avg revenue per actor in
those top-3 films') is computed ACROSS that set, distinct from the per-item
value; project both.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* skill(analytics): iter2 — sharpen extreme-selection spine + top-N ranking-measure
- spine-for-extreme: concrete cue that a zero-row period never appears in a
GROUP BY of the facts; generate the full calendar, LEFT JOIN, COALESCE, then rank.
- aggregate-over-selected-set: top-N selection ranks by the named ranking measure
(the item's own revenue), independent of the per-item share that feeds the aggregate.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* skill(analytics): iter3 — comparison-between-two-extremes is one wide row
Distinguishes a cross-item comparison ('the difference between the highest and
lowest month' -> single wide row, both extremes side by side + the comparison
column) from 'report a metric for each group' (-> stays long). Generic, question-
derived; targets the wide-vs-long shape gap without affecting per-group long output.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* skill(analytics): iter4 — anchor a period bucket to the named lifecycle event
When a record carries multiple lifecycle timestamps (created/placed, approved,
shipped, delivered, completed, settled) and the question counts/measures records
in a named *completed state* by period ("delivered orders by month", "shipped
items per week"), bucket the period by that named event's own timestamp, not the
record-creation timestamp; the state value is the qualifying filter, the matching
timestamp is the time anchor. Wording priority is explicit — purchased/placed/
created/submitted/ordered keep the start-event timestamp — and a non-temporal
state filter (counts by customer/city/seller with no period) introduces no anchor.
Generic analytics craft: counting completed-state records by their creation date
silently answers "records that later reached that state, grouped by when they
started" instead of the question asked. Surfaced via the spider2-autofix loop;
FAIR_PRODUCT (adversary-screened, restatable from question wording + schema/
semantic-layer lifecycle descriptions, no gold dependency).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* skill(analytics): iter5 — canonicalize observed URL-path variants before page-level analysis
When a question groups/filters/sequences web pages by a path/url column, sample
its distinct values; if the data itself shows /route and /route/ variants for the
same page context, canonicalize in an early CTE (preserve / as root, strip trailing
slashes from non-root paths, map an observed empty path to / only when the column is
a URL path with blank root-page events) and use the canonical path everywhere above.
Explicitly forbids inventing aliases the data doesn't show: no merging different
route names, no stripping query/fragment/host/scheme, no lowercasing, and no
canonicalization when the question asks for raw URL/path or slash-vs-no-slash diffs.
Generic web-analytics craft: raw request logs routinely store the same user-visible
page with and without a trailing slash, so grouping raw labels silently splits one
page into several. Surfaced via the spider2-autofix loop (Codex runner, round r2);
FAIR_PRODUCT (adversary-screened, restatable from URL-path semantics + page-grain
question wording + solver-observed distinct values, no gold dependency). The rule
fired mechanism-aligned on both targets; flipped local330 (landing/exit page counts),
local331 residual is a separate sequence-semantics axis beyond canonicalization.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* skill(analytics): iter6 — coverage over a selected group is a set-membership aggregate
When a question first selects a group of entities ("the top 5 actors", "these
products") and then asks what count/share/percentage of a DIFFERENT subject domain
relates to *these* selected entities ("what % of customers rented films featuring
these actors"), the subject set is the UNION across the whole group: count DISTINCT
subject ids once across the selected entities and return one collective value at the
subject-domain grain — not one row per selected entity (which double-counts subjects
related to more than one entity and answers a different question). Narrowly guarded:
emit one row per entity only when the wording says "for each / per / by / list" or
asks for each entity's own metric ("top 5 players and their batting averages").
The collective-coverage cousin of the existing per-entity selected-set rule. Generic
analytics craft (per-entity metric vs set-level coverage). Surfaced via the
spider2-autofix loop (Codex runner, round r3); FAIR_PRODUCT (adversary-screened,
restatable from wording alone, no gold dependency). Flipped local195 mechanism-aligned
(union COUNT(DISTINCT customer)/total, one scalar); 0 regression across 5 passing
per-entity top-N guards (local023/024/029/212/221 stayed long).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* skill(analytics): label-only joins must LEFT JOIN — incomplete dims silently drop fact rows
Mirror of the existing fan-out rule for the DROP direction: an inner JOIN to a
dimension table used only to attach a display attribute silently discards every
fact row whose key has no parent when the dimension is incomplete (trimmed
catalogs, late-arriving / SCD-gap rows), shrinking counts/sums and the universe
over which shares/averages/medians are computed. Guidance: LEFT JOIN pure
enrichment; inner-join a dimension only when intended as a filter; key the
aggregate/GROUP BY on the fact column, not the dimension column.
Spider2 autofix round 'joindim': flips complex_oracle local050 (FAIL->PASS,
official scorer) — solver dropped the gratuitous products inner-join and
recovered the exact gold. local060/063 also adopt LEFT JOIN (rule fires) but
remain gold-convention-blocked. Guards local061/067 held.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs(spider2-specs): add todo/17 — lifecycle-event metrics (semantic-layer)
Draft intake spec surfaced by the spider2-autofix loop (round r1): the model-layer
form of the shipped iter4 lifecycle-date-anchoring skill rule — infer per-state
lifecycle-event metrics (e.g. delivered_orders with defaultTimeDimension = the
delivery timestamp) during enrichment so the correct time anchor is the default for
any consumer, not only an agent that loaded the skill. Generic; FAIR_PRODUCT.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(connectors): accept leading underscore in connection/identifier ids
The safe-identifier validator regex /^[a-zA-Z0-9][a-zA-Z0-9_-]*$/ allowed an
underscore everywhere except the first character, so a connection id / database
name that legitimately starts with '_' (valid in Snowflake, e.g. _1000_GENOMES)
could never be ingested or queried. Allow a leading underscore across all 16
duplicated validators (connection ids, source ids, page/wiki keys, warehouse-
verification tool schemas). Path-safety is unaffected — '.' and '/' remain
excluded, and assertSafePathToken still blocks traversal.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(analytics): generic geospatial query guidance
Add a Snowflake ST_* dialect note (ST_MAKEPOINT lon-first, ST_DWITHIN/ST_CONTAINS/
ST_WITHIN/ST_INTERSECTS, bbox->polygon via ST_MAKEPOLYGON/ST_MAKELINE) and a
dialect-agnostic 'Spatial predicates' recipe in the analytics skill (resolve the
entity geometry, build an area-of-interest polygon, test with the engine's
containment/proximity/overlap predicate; mind lon/lat argument order). Steers the
solver off hand-rolled lat/lon BETWEEN boxes toward correct, index-assisted
geospatial predicates.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(analytics): parse code/dependency text by language grammar
Add two generic <sql_craft> rules: (1) parse imported/required/loaded packages by
the language or manifest format (Java import keep-package-path allowing underscores/
mixed-case; Python import/from + alias stripping; R library/require; .ipynb parse
JSON cell source before language rules; JSON manifests flatten the dependency object
keys), stripping comments/prose and splitting multi-import lines; (2) on a
de-duplicated table with a documented copy/occurrence count, choose COUNT(*) vs the
weight column from the population the question names, not silently. Steers off one
broad regex that drops valid identifiers and matches prose.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(analytics): source filters/dates/measures from the owning fact grain
Add a <sql_craft> rule for joined fact tables at different grains (parent order
vs child line item): read each predicate, calendar bucket, and measure from the
table whose grain the question names, not whichever is in scope post-join. An
order-grain filter ("orders that are Complete", "the order's creation date")
must come from the parent even though the child carries its own status/created_at;
line price/cost come from the child. Mirror at metric grain: don't combine a
parent-grain count with child rows (num_of_item * SUM(line_price) per line) —
aggregate each measure at its own grain before combining.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(analytics): collapse multi-valued classes to one representative per entity before counting/concentration
When an entity carries a multi-valued classification array (IPC/CPC codes, tags)
and the methodology counts entities-per-class or a concentration/diversity metric
(HHI, originality, share), pick ONE representative per entity first (the array's
main/primary/first flag, else a defined fallback like most-frequent), then
aggregate; and use COUNT(DISTINCT entity) when the denominator is defined as a
count of entities. Unnesting the array otherwise multiplies an entity's weight by
its code count, inflating per-class frequencies and skewing the ranking/score.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(connectors): introspect BigQuery datasets hosted in foreign projects
A dataset_ids/dataset_id entry may now be written `project.dataset` to
introspect a dataset hosted in another project while query jobs still bill to
credentials.project_id. Entries are parsed once at the config boundary into
canonical {project, dataset} pairs; introspection, primary-key discovery,
testConnection, getTableRowCount, and listTables (grouped per project) all
resolve in the dataset's own project, and scanned tables are labeled with that
project so sampling, distinct-value, and read queries resolve. Bare entries are
unchanged.
Implements spider2-specs/specs/18-bigquery-cross-project-datasets.md.
* feat(scan): durable, resumable, bounded relationship detection during enrichment
Move the enrichment persistence boundary to the cost boundary and bound the
open-ended relationship stage (spec 19).
- Checkpoint descriptions + embeddings into the queryable `_schema` manifest
(and the raw enrichment artifacts) before relationship detection runs, via a
new `onCheckpoint` hook + `writeLocalScanEnrichmentCheckpoint`. An interrupted,
budget-truncated, or failed relationship stage now degrades to "no joins",
never "no descriptions".
- Resume the enrichment cache by content identity: re-key the SQLite stage store
on `(connection_id, stage, input_hash)` so a re-run with a fresh runId resumes
finished descriptions/embeddings instead of re-paying for LLM work. The
disposable cache recreates its table if the on-disk key shape differs.
- Make the relationship stage observable and bounded: a sticky wall-clock budget
(`scan.relationships.detectionBudgetMs`, default 600000 ms) + per-unit progress
+ honored `ctx.signal`, threaded through profiling, validation, and composite
detection. On exhaustion/abort it stops scheduling, finalizes, and returns a
partial result instead of throwing or hanging.
- Mark a budget/abort-truncated result partial (diagnostics `partial`/`partialReason`
+ recoverable `relationship_detection_partial` warning). A graceful partial saves
as a completed stage and resumes cheaply; raising the budget changes inputHash
and forces a fresh, fuller run. A process killed mid-stage saves nothing.
Document `detectionBudgetMs` in the ktx.yaml reference. Append implementation
notes to specs/19 and move the intake draft to done/.
Also carries the in-tree per-table enrichment LLM timeout work it builds on
(`description-generation.ts` + the `enrichment_timeout` warning code), which is
intertwined in `local-enrichment.ts`/`types.ts` and cannot be split into a
separately-building commit.
* feat(scan): bound + retry the per-table enrichment LLM call
The batched table-description call had no retry (sampleTable retried 3x, this did
not), so a single transient backend error (e.g. an overloaded/burst rejection when
many tables enrich concurrently) silently nulled a whole table's descriptions —
observed dropping ~70% of a db's tables during a bad window despite ample quota.
- Wrap generateObject in retryAsync (3 attempts + backoff; KTX_ENRICH_LLM_ATTEMPTS).
- Fresh per-attempt timeout (KTX_ENRICH_LLM_TIMEOUT_MS, default 120s) still bounds a
wedged wide table; a timeout is surfaced as KtxAbortedError so it is NOT retried
(one wedge stays one timeout, not 3x).
- Granular per-table progress + start/done/retry/timeout logging.
Composes with spec 19 (its non-goal #1): spec 19 makes completed descriptions durable;
this makes more of them complete.
* feat(scan): survive a hung LLM enrichment backend and resume descriptions
Two compounding failure modes on the per-table description-enrichment path (spec 20):
Enforced per-table timeout for subprocess backends. The runtime declares whether it owns an SDK subprocess (subprocessForkSpec on KtxLlmRuntimePort); codex/claude-code calls run behind a ktx-owned detached child that is tree-killed (SIGKILL of the process group on POSIX, taskkill /T on Windows) on the deadline or ctx.signal, reaping the wedged model grandchild. HTTP backends keep native fetch abort. Default stays 120s, one-wedge-one-timeout.
Incremental, resumable descriptions persistence. generateDescriptions flushes enriched tables per batch to an inputHash-tagged durable record (at a stable, non-syncId path) plus only the changed manifest shards, skips already-enriched tables on resume, and never lets one table's failure discard the stage (a skipped table costs one missing description, not the whole stage's output).
Spec 20 refined + intake draft moved to done/.
* feat(scan): selective enrichment stages (--stages) + per-stage cache keys
Split the single coarse enrichment cache key into per-stage hashes
(descriptions <- snapshot + LLM identity; embeddings <- snapshot + embedding
identity + description digest; relationships <- snapshot + relationship settings
+ LLM identity), so changing one stage's inputs invalidates only that stage and
never throws away the expensive per-table descriptions on an unrelated edit.
Add `ktx ingest --stages <list>` to force-re-run a chosen subset on an
already-ingested connection: a named stage bypasses the completed-stage
short-circuit while the per-table descriptions resume record still skips
already-enriched tables, and unselected stages are left untouched on disk. Feed
embeddings + relationships their description context from the on-disk _schema
when descriptions do not run this invocation, and carry descriptions into the
llmProposals evidence packet (closing a latent gap on the full-run path too).
Surface an enrichment_stage_stale warning when an unselected stage's inputs have
drifted, rather than silently cascading the work.
Implements spider2-specs/specs/21-selective-enrichment-stages.md.
* test(analytics): realign SKILL.md acceptance test with the evolved skill
Three assertions in analytics-skill-content.test.ts drifted from the analytics
SKILL.md as later iterations edited the skill without updating the test:
- the sub-heading was renamed Window functions -> Ordering & aggregation
determinism (iter2), so follow the source name;
- the rule "Expose identity, not just the label" was renamed to "Project BOTH
identity and label" (spec 14), so match the new wording;
- the dialect-FQTN guard false-positived on the Java package example
com.planet_ink.coffee_mud, whose backticks made a 3-segment package path read
as a BigQuery/Snowflake `a.b.c` table reference. Drop the backticks so the
guard stays at full strength without weakening it.
* fix(scan): --stages subset must not delete unselected stages' on-disk artifacts
A --stages subset that omitted descriptions wiped all on-disk ai/db descriptions
from the written _schema. runLocalScan writes the structural manifest shard from
the bare snapshot BEFORE enrichment runs, and the shard merge treats ai/db as
scan-managed and overwrites them with whatever the run emits — none, on a subset
that skips descriptions. Enrichment then read the already-wiped shard via
loadPriorDescriptions and had nothing to restore.
runLocalScanEnrichment now returns the best-available descriptions (fresh-this-run
if descriptions ran, else loaded from the on-disk _schema) instead of [], and
runLocalScan captures the prior descriptions before the structural write and feeds
them to both the structural write and enrichment, so an unselected stage's
artifacts survive. Joins were already preserved for --stages descriptions via the
manual/inferred preservedJoins path.
Tests: a full runLocalScan --stages relationships path test (RED without the fix,
GREEN with it — the earlier unit test missed the structural-pre-write ordering),
plus enrichment-layer contract tests for both directions. Validated live on
northwind: --stages relationships keeps all 110 descriptions + 22 joins (was
wiping to 0); --stages descriptions restores descriptions from the spec-20 resume
record (no LLM calls) while keeping joins.
* feat(dialects): bigquery nested-data (ARRAY/STRUCT/UNNEST), geospatial (GEOGRAPHY), SAFE_DIVIDE
bigquery.md lacked the two sections that define BigQuery analytics (present in snowflake.md):
- Nested & repeated data: UNNEST to flatten arrays of STRUCTs (GA360 hits, GA4 event_params),
dot-notation field access, key-value param scalar-subquery extraction, fan-out/COUNT(DISTINCT) guard.
- Geospatial (GEOGRAPHY): ST_GEOGPOINT (lon-first), containment/proximity/distance/intersection
predicates, areal allocation via ST_AREA(ST_INTERSECTION()).
- SAFE_DIVIDE for zero-denominator-safe rates; sharded-table shard-presence note.
Generic BigQuery craft surfaced by sql_dialect_notes; product-completeness (any BQ analyst benefits).
* feat(dialects): sqlite ROUND half-up FP-underflow note (+1e-9 before ROUND)
SQLite ROUND(x,n) rounds half-away-from-zero, but binary FP stores an exact
half-way value just below it, so ROUND(6.475,2) returns 6.47 not 6.48. Add a
dialect note: nudge by a tiny epsilon (1e-9) below display precision before
rounding for deterministic half-up, leaving non-boundary values unchanged.
Generic SQLite craft surfaced by sql_dialect_notes (any analyst rounding a
displayed average/rate/price benefits).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs(analytics): list-as-delimited-string, answer-literally, drop free-text columns
Add SKILL.md guidance to emit list-valued answer cells as delimited
STRING (not ARRAY/repeated column), answer the literal ask without
unrequested transformations (HAVING for aggregate bounds), and avoid
projecting unrequested free-text columns that corrupt row-delimited output.
* fix(scan,mcp): gitignore runtime logs, budget-guard LLM proposal, validate enrich timeout
- gitignore `.ktx/logs/` in both scaffold + setup-merge lists: the managed MCP
daemon writes raw tool params (SQL, memory_ingest content) to mcp.log under a
version-controlled `.ktx/`, and snowflake.log already sat there unprotected.
- gate the LLM relationship proposal on the detection budget/abort signal so an
exhausted or aborted stage cannot start a fresh LLM call; document the boundary.
- validate KTX_ENRICH_LLM_TIMEOUT_MS (NaN/0 → 120s default) like enrichAttempts,
so a bad value no longer times out every table immediately.
- daemon introspection now warns on malformed column/FK rows instead of dropping
them silently, matching the table-row path and the "surface broken objects" goal.
- docs: document `ktx wiki -c/--connection`; fix the SQLite query-deadline schema
doc (forked-subprocess SIGKILL, not worker-thread termination).
* fix(scan,wiki,mcp): address PR #312 review findings
- scan: key the description pipeline (resume map, enriched-schema and
embedding-text lookups, manifest write/read) by full table identity via
tableRefKey/buildTableRef, so two same-named tables in different schemas no
longer cross-assign descriptions or skip a sibling on resume
- scan: re-throw a genuine context cancel during the batched description LLM
call so Ctrl-C resumes the stage instead of nulling tables and recording it
completed; per-table timeouts still degrade (context.signal not aborted)
- scan: report statisticalValidation 'skipped' (not 'completed') when a
budget/abort stop leaves relationship profiling partial
- wiki: sync the full page corpus into the sqlite index and filter only the
candidate/result set, so a connection-scoped search no longer prunes other
connections' pages and cached embeddings from the shared index
- wiki: route verbatim ingest through the canonical writePageAndSync so
contentHash is set and later syncs can short-circuit
- mcp: drop the as-unknown-as cast in serializeMcpError
- dialects/analytics: document the integer-division trap on postgres/sqlite/tsql
Adds regression tests for each behavior change.
* fix(wiki): scope connection filter before SQLite lane limit
Connection-scoped wiki search applied the connectionId allowlist after
the lexical/semantic lanes had already truncated to laneCandidatePoolLimit
over the full (connection-agnostic) corpus. When the requested connection
was a minority of a large corpus, its pages were crowded out of the
candidate pool before filtering, so a semantic-only match could be missed
outright and lexical hits under-ranked.
Push the path allowlist into searchLexicalCandidates/searchSemanticCandidates
so LIMIT applies to in-scope rows, matching what the token lane already did,
and drop the now-redundant post-limit JS filters.
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
23 KiB
Structured, leveled logging for the ktx MCP server
Refined spec. Intake draft:
todo/15-mcp-server-structured-logging.md.Scope: observability only. This spec is about seeing what the MCP server does (which tool, what params, when, how long, outcome). Preventing a runaway query from blocking the server (off-event-loop / interruptible execution) is a separate concern — see "Non-goals".
Problem
The ktx MCP server (mcp-http-server.ts + mcp-stdio-server.ts, both built
through mcp-server-factory.ts on raw node:http + the
@modelcontextprotocol/sdk transports) emits almost no operational logs. There
is no server-side record of which MCP tool was called, with what parameters,
when, how long it took, or whether it succeeded — nor of session open/close or
transport errors. When a tool call is slow, hangs, or a client connection drops
("Transport channel closed"), an operator has no trail to diagnose it and must
resort to process sampling / lsof / guesswork — and the offending input
(e.g. the exact SQL) is typically unrecoverable.
The hook to fix this already exists but is half-built: instrumentMcpServer
(context/mcp/context-tools.ts) wraps every tool handler and already times it,
but it emits only on completion (a sampled mcp_request_completed telemetry
event) and never writes a start line and never writes to the server log. A
call that never returns therefore leaves no trace at all.
Generic use case (independent of any benchmark)
Anyone running a long-lived ktx MCP server — a developer's local instance (stdio, launched by Claude Desktop / Cursor), a foreground HTTP server, or a shared/hosted HTTP daemon — needs observability into tool-call activity to:
- diagnose slow or hung tool calls (which
sql_executionran, against which connection, with what SQL, for how long); - explain client-visible connection failures from the server side (session lifecycle, transport-closed events);
- audit what agents asked the server to do;
- spot patterns (hot tools, slow connections, error rates).
This is standard production-server hygiene; the server currently provides none.
Design decisions (resolved during refinement)
These resolve ambiguities the intake draft left open. They constrain the implementer; the exact code is theirs.
One pino logger, synchronous, written to stderr
Use pino — the de-facto standard structured-JSON logger for Node servers — as
a single shared instance. Two corrections to the draft's sketch:
- stderr, not stdout. The stdio transport reserves stdout for the
JSON-RPC protocol (
mcp-stdio-server.tsdeliberately no-opsstdout.write); writing logs there would corrupt the protocol stream. The HTTP daemon already redirects both child fds to.ktx/logs/mcp.log(managed-mcp-daemon.ts:stdio: ['ignore', log.fd, log.fd]), so stderr lands in the same log file (surfaced byktx mcp logs). stderr is therefore the one universally-correct sink for both transports. - Synchronous, no worker-thread transport.
pinowrites through aDestinationStream({ write(msg) }) — the server's existingKtxCliIo.stderrsink satisfies that interface directly. Configure pino with a synchronous destination (pino.destination({ sync: true }), or the pino-pretty stream below withsync: true). This is load-bearing: thetool.startline must be flushed to the fd before the (possibly blocking) handler runs, so a runaway synchronousbetter-sqlite3query that pegs the event loop still leaves the start line on disk. A worker-thread transport (transport: { target: ... }) buffers and can lose that exact line on a hard crash — do not use transport mode.
Format is derived from stderr.isTTY, not a config flag
One logger, two serializations chosen by the environment (the "behavior follows from inputs" rule — not a user-visible knob):
- TTY (
ktx mcp start --foregroundorktx mcp stdiorun in a terminal) →pino-prettyas a synchronous in-process stream (pretty({ sync: true, destination: <stderr sink> }), colorized). A readable live dev view. - Not a TTY (the detached daemon, whose stderr is the
.ktx/logs/mcp.logfile fd) → plain JSON line via the synchronous pino destination. The log file stays structured JSON so the incident workflow ("recover the hung query with a one-linegrep/jq") works — colorized ANSI in a file would defeat it.
KtxCliIo.stderr has no isTTY field (cli-runtime.ts), so detect the terminal
from the underlying stream (process.stderr.isTTY) at logger construction, while
still writing through the io.stderr sink so tests can capture emitted lines.
Single hook: extend instrumentMcpServer, do not fork a second wrapper
Tool-call logging is added to the existing instrumentMcpServer
(context-tools.ts), which already wraps registerTool and measures duration.
It receives the raw tool input (it wraps the schema-parsing handler from
registerParsedTool), so the params it logs include sql for sql_execution.
The existing telemetry emission stays unchanged; logging is additive beside
it. Because both transports build their server through mcp-server-factory.ts →
registerKtxContextTools, this single change gives both HTTP and stdio
tool-call logging for free.
sessionId / callId provenance
sessionIdcomes from the SDK's per-call handler context (RequestHandlerExtra.sessionId; confirmed present in@modelcontextprotocol/sdk1.29.0). It is populated for the HTTP StreamableHTTP transport and absent for stdio (single session) — log it when present, omit otherwise. AddsessionId?: stringtoKtxMcpToolHandlerContext(context/mcp/types.ts).callIdis generated per invocation withrandomUUID()(already imported incontext-tools.ts). It correlates atool.startwith itstool.end.
No redaction in v1 (explicit)
v1 ships no log redaction. Rationale recorded here so it is a deliberate
choice, not an oversight: these logs are local (stderr → .ktx/logs/mcp.log),
never transmitted off-box, and sit at the same trust boundary as the
ktx.yaml / environment that already hold the connection credentials. Concretely:
- Request headers are never logged at all, so the bearer token
(
KTX_MCP_TOKEN) simply isn't collected — this is "not logged," not "redacted." - Errors are logged with their full message and stack via pino's standard
errserializer. - SQL text and tool params are logged verbatim (they are not secrets).
Credential redaction (e.g. a DB URL embedded in a driver error string) is an
explicit v1 non-goal; revisit only if these logs are ever shipped off-box.
This drops the draft's "light redaction" requirement and the
collectTelemetryRedactionSecrets / scrubber reuse it implied.
Requirements
1. One shared pino logger
- A single
pinoinstance per server process, constructed once and threaded to both the transport layer (for lifecycle events) and the tool layer (for tool-call events). Level set from env (Requirement 7), defaultinfo. - Synchronous destination bound to the server's stderr sink (see Design
decisions). Pretty (
pino-pretty, sync stream) whenprocess.stderr.isTTY, otherwise plain JSON. Each line carries pino's standardtimeandlevel. - No new dependency beyond
pinoandpino-pretty. No OpenTelemetry / metrics stack, no async/worker transport, no in-app file rotation.
2. Per-session / per-call context via child loggers
Use pino child loggers so every line carries the relevant correlation fields:
a per-call child binds { tool, callId } plus sessionId when present, so one
session's or one call's activity can be grepped from the log.
3. Tool-call logging — START before execute, END after
In instrumentMcpServer, for every MCP tool invocation:
- On entry, before invoking the handler, write
tool.startwith{ tool, callId, sessionId?, params }atinfo.paramsis the raw tool input; forsql_executionthis includes the full SQL text (the single most useful field). The write is synchronous so the line exists even if the handler never returns. - On normal completion, write
tool.endwith{ tool, callId, sessionId?, durationMs, outcome: "ok", resultSize }atinfo— unless it is a slow call (Requirement 4).resultSizeis a tool-agnostic size measure (byte length of the serialized result text content). - On error, write
tool.endwith{ tool, callId, sessionId?, durationMs, outcome: "error", err }aterror, whereerris the serialized error (message + stack) per Requirement 6.
tool.start and tool.end share the same correlation fields and the same
info level (for the non-slow, non-error case) so that an unmatched
tool.start — a start with no tool.end for the same callId — is an
unambiguous "this call hung" signal. This is the property that makes a runaway
sql_execution identifiable from the log alone, with its exact SQL and
timestamp, no process sampling.
Deliberate change from the intake draft. The draft put
tool.start/tool.endatdebug(suppressed at the defaultinfo). That defeats the motivating incident: a hang is unpredictable, so debug would have to be enabled before it occurs, which never happens. v1 logs start/end atinfo— an always-on access log — so the offending query is recoverable at the default level.debugis reserved for heavier detail (Requirement 7).
4. Slow-call warning
When a call completes with durationMs greater than the configured slow
threshold (Requirement 7), emit its tool.end at warn (carrying the same
fields plus the duration) instead of info. This makes a completed-but-slow call
stand out and keeps it visible even when the level is raised to warn.
5. Connection / session lifecycle and transport errors
- HTTP (
mcp-http-server.ts, innewTransport): logsession.openfromonsessioninitializedandsession.closefromonsessionclosed/transport.onclose, each withsessionId, atinfo. Wire the currently unusedtransport.onerrorto logtransport.error(the SDK's closed-channel / "Transport channel closed" events) aterror, so a client-visible connection failure has a server-side counterpart. - stdio (
mcp-stdio-server.ts): route the existing rawtransport.onerrorstderr string (it currently writes a plain string) through the logger as atransport.errorline aterror. A singlesession.open/session.closepair for the one stdio connection MAY be logged atinfo.
6. Structured error logging
Errors are logged as structured objects via pino's standard err serializer
(pino.stdSerializers.err or equivalent), carrying error class, message, and
stack — never a bare interpolated string. The existing telemetry exception
reporting in instrumentMcpServer / registerParsedTool is unchanged.
7. Configuration surface
KTX_MCP_LOG_LEVEL— pino level (error|warn|info|debug| …), defaultinfo. MCP-scoped name because the MCP server is the only emitter today; naming it global (KTX_LOG_LEVEL) would imply a logging system that does not exist.KTX_MCP_SLOW_TOOL_MS— slow-call threshold in milliseconds (Requirement 4), default10000. Justified as a real ops knob: "slow" differs sharply between a local SQLite file and a remote warehouse.- Level ladder that results from Requirements 3–5:
debug: everything below plus heavier detail (e.g. result bodies, progress notifications) — implementer's discretion on what extra to attach.info(default):tool.start/tool.end, session lifecycle, slowwarns, errors.warn: slow-calltool.ends,transport.error, erroredtool.ends — but not routine tool traffic.error: erroredtool.ends andtransport.erroronly.
Acceptance criteria
- At default level (
info), invoking any MCP tool produces atool.start(tool,callId,sessionIdwhen HTTP,params) and a matchingtool.end(durationMs,outcome,resultSize) line, as JSON to stderr when stderr is not a TTY. - A tool call that never returns (e.g. a runaway
sql_execution) leaves atool.startline carrying its exact SQL and timestamp and no matchingtool.endfor thatcallId— so the offending query is recoverable from the log alone, with no process sampling. - A completed call slower than
KTX_MCP_SLOW_TOOL_MSemits itstool.endatwarnwith itsdurationMs. - Session open/close and transport-closed (
transport.error) events are logged with thesessionId(HTTP); the stdio transport error path goes through the logger, not a rawstderr.write. - At level
warn, routinetool.start/tool.endare suppressed but slow-call warnings, transport errors, and errored calls are present. - When stderr is a TTY (
ktx mcp start --foreground/ktx mcp stdioin a terminal), output is human-readable colorizedpino-pretty; the daemon log file (.ktx/logs/mcp.log) is plain JSON. Both paths are synchronous. - The bearer token never appears in any log line (headers are not logged); SQL and tool params do appear.
- No worker-thread / async log transport is introduced; no OpenTelemetry /
metrics stack; the only new dependencies are
pinoandpino-pretty. - The existing
mcp_request_completedtelemetry and exception reporting still work unchanged.
Non-goals
- Preventing / interrupting runaway queries (off-event-loop execution, query
timeouts, worker-thread isolation). A single synchronous query that fans out
into a massive nested-loop join can peg the single-threaded server for hours
and break new connections — observability surfaces which query, but the fix
is execution-model work in a separate spec. (This logging is also the
prerequisite for a future watchdog that detects a
tool.startwith notool.endpast a threshold and recycles the server.) - Log redaction (see Design decisions) — explicit v1 non-goal.
- Pretty output as a worker-thread transport — the TTY path uses pino-pretty as a synchronous in-process stream only.
- Metrics / tracing / OpenTelemetry exporters.
- Forwarding logs to the MCP client via the protocol logging capability
(
notifications/message,logging/setLevel) — a possible later enhancement, distinct from operational stderr logging. - A global
KTX_LOG_LEVELspanning non-MCP commands — out of scope until other surfaces emit structured logs.
Implementation orientation
Line numbers drift; treat these as anchors, not addresses. The implementer owns the design.
- New module — a small logger factory, e.g.
packages/cli/src/context/mcp/logger.ts: builds the shared pino instance from the stderr sink +KTX_MCP_LOG_LEVEL, choosing the pino-pretty (sync) stream whenprocess.stderr.isTTYelsepino.destination({ sync: true }), and exposes aslow-thresholdread fromKTX_MCP_SLOW_TOOL_MS. - Tool-call logging —
packages/cli/src/context/mcp/context-tools.ts: extendinstrumentMcpServer(~line 585) to writetool.startbeforehandler(...)andtool.endafter (ok / slow-warn/error); generatecallIdvia the already-importedrandomUUID; readsessionIdfrom the handlercontext. Thread the logger viaRegisterKtxContextToolsDeps(~line 26) andregisterKtxContextTools(~line 650). LeaveregisterParsedTooland the existing telemetry emission intact. - Context type —
packages/cli/src/context/mcp/types.ts: addsessionId?: stringtoKtxMcpToolHandlerContext; add the logger toKtxMcpServerDeps/ the register deps. - Server wiring —
packages/cli/src/context/mcp/server.ts(createDefaultKtxMcpServer/createKtxMcpServer) andpackages/cli/src/mcp-server-factory.ts(createKtxMcpServerFactory): accept and pass the logger down toregisterKtxContextTools. - HTTP lifecycle —
packages/cli/src/mcp-http-server.ts: construct (or receive) the logger; innewTransport(~line 186) logsession.open/session.closeand addtransport.onerror→transport.error. - stdio lifecycle —
packages/cli/src/mcp-stdio-server.ts: construct (or receive) the logger; route the existingtransport.onerror(~line 54) through it. - Log destination is already captured —
packages/cli/src/managed-mcp-daemon.tsredirects child stdout+stderr to.ktx/logs/mcp.log;ktx mcp logs(commands/mcp-commands.ts) tails it. No change needed there. - Dependencies — add
pinoandpino-prettytopackages/cli/package.json. Verify Knip/Biome dead-code and bundle checks still pass. - Tests — extend
packages/cli/test/mcp-http-server.test.ts,mcp-server-factory.test.ts,context/mcp/server.test.ts, andcommands/mcp-commands.test.ts: assert (a) atool.startJSON line is written before a (mock) handler runs and carriesparams/sql; (b) a matchingtool.endwithdurationMs/outcome; (c) a hung-handler scenario yields atool.startwith notool.endfor thatcallId; (d) a slow completion emitswarn; (e) session lifecycle +transport.errorlines; (f) the bearer token never appears. Inject a capturingio.stderrand parse the JSON lines. Note:mcp-server-factory.test.tscarries a pre-existingKtxMcpContextPorts/contextToolstype error (from commit2677b3ef, unrelated to this work) — do not let it mask new failures. - After implementing, rebuild and re-link so the playground picks it up:
pnpm run build && pnpm run link:dev.
Benchmark context (motivation, not a requirement)
Running Spider 2.0-Lite against the MCP server at concurrency, an
adversarial-reviewer-generated query degenerated into a massive nested-loop join;
synchronous better-sqlite3 executed it on the event loop, pegging a server at
~100% CPU for hours and breaking new MCP connections ("Transport channel
closed"). We could not determine which query, because the server logs nothing
about tool calls — diagnosis required sample / lsof on the live process and
the exact SQL was never recovered. Structured tool-call logging — especially
tool.start written synchronously before execution, at the default level —
would have turned this into a one-line grep of the server log. Improving the
benchmark is a side effect; the logging is generic production-server hygiene.
Implementation notes
Implemented on branch write-feature-spec-wiki. All requirements and acceptance
criteria are satisfied.
What was built / where
- New module
packages/cli/src/context/mcp/logger.ts—createMcpLogger(io, { isTTY? })builds one synchronouspino(v10) instance written through theio.stderrsink: plain JSON when stderr is not a TTY, apino-pretty(v13) synchronous in-process stream ({ colorize: true, sync: true }, wrapping the sink in anode:stream.Writable) when it is. Also exportsmcpLogLevel(KTX_MCP_LOG_LEVEL, validated against pino levels, defaultinfo),mcpSlowToolMs(KTX_MCP_SLOW_TOOL_MS, default10000), andserializeMcpError. No worker/async transport; no globalKTX_LOG_LEVEL. - Tool-call logging —
instrumentMcpServer(context/mcp/context-tools.ts) — per invocation:callId = randomUUID(), a child logger bound to{ tool, callId, sessionId? },tool.start { params }written atinfobefore awaiting the handler (synchronous, so a runaway query still leaves it on disk), andtool.endafter:info { durationMs, outcome:"ok", resultSize },warnwhendurationMs > KTX_MCP_SLOW_TOOL_MS, orerror { outcome:"error", err }.resultSizeis the UTF-8 byte length of the serialized text content. The existingmcp_request_completedtelemetry +reportExceptionare unchanged (durationMsis now computed once and shared);registerParsedToolis intact. sessionId/ logger plumbing —sessionId?: stringadded toKtxMcpToolHandlerContext; a single per-process logger threads from each transport entrypoint throughcreateKtxMcpServerFactory→createDefaultKtxMcpServer→createKtxMcpServer→registerKtxContextTools(KtxMcpServerDeps.logger,RegisterKtxContextToolsDeps.logger).- HTTP lifecycle (
mcp-http-server.ts) —session.openfromonsessioninitialized,session.closefromtransport.onclose, and the previously-unusedtransport.onerrorwired totransport.erroraterror. - stdio lifecycle (
mcp-stdio-server.ts) — the rawtransport.onerrorstring write is replaced by atransport.errorlog line;session.open/session.closeare logged for the single stdio session. - Deps —
pino ^10.3.1,pino-pretty ^13.1.3added topackages/cli/package.json. - Tests —
test/context/mcp/logger.test.ts(factory, level/threshold env parsing, error serializer, TTY vs JSON), a "MCP tool-call logging" block intest/context/mcp/server.test.ts(start-before-handler, matching end withresultSize, hung-handler leaves an unmatched start, slow→warn,warn-level suppression with errored end still present, no-logger no-op), session lifecycle- bearer-token-never-logged in
test/mcp-http-server.test.ts, andtest/mcp-stdio-server.test.tsfortransport.error.
- bearer-token-never-logged in
Deviations / decisions
- In-band errors carry no stack (inherent).
registerParsedToolconverts a thrown handler error into an{ isError: true }result (and reports the full error via telemetry) before it reachesinstrumentMcpServer, so the original stack is already gone.tool.endfor such a result logsoutcome:"error"witherr.messageonly; a genuine throw that escapes gets the full pinoerrserialization (type + message + stack). The field is alwayserrfor consistency. This honours "leaveregisterParsedToolintact." session.closeis logged fromtransport.onclose(the universal close signal for both clean DELETE and dropped connections) rather thanonsessionclosed, to avoid duplicate lines;onsessionclosedkeeps its session-map cleanup role.- The logger is optional throughout. Production always wires one per process;
when absent (programmatic/test callers that inject
createMcpServer), tool-call logging is simply off — which keeps existing tests unchanged. createMcpLoggeraccepts an optionalisTTYpurely as a test seam; production derives format fromprocess.stderr.isTTY.
Verification
pnpm --filter @kaelio/ktx exec vitest run for the four touched/added MCP test
files: 57 passed. Full default pnpm run test: 3018 passed, 1 skipped — the only
2 failures are in test/skills/analytics-skill-content.test.ts, pre-existing and
unrelated to this change (in-progress analytics-skill work on this branch).
pnpm run dead-code (Biome + Knip default + Knip production) clean. pnpm run build and pnpm run link:dev succeed. pnpm run type-check reports only the
one pre-existing, test-only error in test/mcp-server-factory.test.ts from commit
2677b3ef (documented above); all source and the new tests type-check clean.