* 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>
* refactor(connectors): split KtxDialect into core and KtxSqlDialect
Separate the dialect contract into a driver-agnostic core (display/ref
formatting and type mapping) and a SQL-only extension (query generators).
The catalog and entity-details paths resolve the core dialect for any
snapshot driver, so it must stay free of SQL generation; this is the
prerequisite refactor for adding non-SQL primary sources.
- KtxDialect keeps type, formatDisplayRef, parseDisplayRef,
columnDisplayTablePartCount, mapDataType, mapToDimensionType
- KtxSqlDialect extends it with quoteIdentifier, formatTableName, and the
query/sample/statistics generators; the 7 SQL dialects implement it
- add getSqlDialectForDriver for SQL drivers; the 7 connectors and the
relationship-benchmark harness consume it
- thread the relationship pipeline (profiling/validation/composite/
discovery) as KtxSqlDialect | null so a non-SQL source skips coverage SQL
and its candidates stay in review; local-enrichment builds the SQL
dialect only when the connector advertises readOnlySql
Pure extraction: no behavior change for the existing 7 drivers.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* feat(connectors): add MongoDB connector for issue #305
Add a read-only MongoDB connector that treats a database as a primary
context source: collections map to tables and inferred top-level fields to
columns. MongoDB is the first non-SQL source (readOnlySql: false), so
ktx sql and metric compilation do not apply, but its collections flow
through ingest, descriptions, and relationship discovery.
- schema-inference: infer a flat column schema from the most recent
sample_size documents (by _id desc, or order_by for non-ObjectId keys).
Union BSON types per field, mark multi-type fields mixed (string), keep
sub-documents/arrays as a single opaque json column, derive nullability
from presence, treat _id as the primary key
- connector: KtxMongoDbScanConnector behind an injectable client seam;
strictly read-only (find/listCollections/estimatedDocumentCount only),
no executeReadOnly; resolves env:/file: via resolveKtxConfigReference
- core-only KtxMongoDbDialect and a live-database introspection adapter
- wire the mongodb driver: driver union, dialect registry, driver
registration (scopeConfigKey databases), mongodbConnectionSchema,
connection-drivers, normalizeDriver, the live-database route, and the
ktx setup picker. ktx sql is refused by the read-only SQL capability gate
- tests: schema inference, connector snapshot via a fake client, dialect,
driver-schema parsing, and the ktx sql rejection
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs(integrations): document the MongoDB primary source
Add a MongoDB section to the primary-sources reference: connection config
(url, databases, enabled_tables, sample_size, order_by), mongodb+srv/TLS/
Atlas notes, the schema-inference explainer, a features matrix, and the
non-SQL caveat. Update the frontmatter and connection field reference.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(connectors): address review blockers on the MongoDB connector
- introspect: skip estimatedDocumentCount for views. The count command is
rejected on a MongoDB view (CommandNotSupportedOnView), so counting a view
aborted introspect for the whole connection; compute estimatedRows only for
real collections, as ClickHouse does.
- sl: refuse a semantic-layer query against a non-SQL connection instead of
defaulting it to the Postgres dialect. compileLocalSlQuery (the shared CLI +
MCP path) now rejects a driver with no SQL dialect via the new
isSqlQueryableDriver authority, keeping MongoDB context-only per issue #305.
- tests: cover input.tableScope and the empty-scope skip for the Mongo
connector (the scan layer does not post-filter), the view no-count path, and
the ktx sl query refusal for a mongodb connection.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* polish(mongodb): compute sampled nullCount and document sampling caveats
Address the non-blocking review notes:
- sampleColumn now counts null/absent values over the sampled window instead of
returning nullCount: null, since the documents are already in hand
- warn that a custom order_by must be indexed (an unindexed sort hits MongoDB's
in-memory sort limit on large collections) in the connection schema and docs
- note that sampled values for nested fields are stringified, not faithfully
serialized, so the json opacity is deliberate
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs(examples): add a MongoDB connector example
A manual, container-backed example mirroring examples/postgres-historic:
- docker-compose.yml + init/seed.js seed a representative dataset (nested
documents, arrays, a Decimal128, a mixed-type field, a nullable field, an
ObjectId reference, and a view) on first container start
- scripts/smoke.sh + introspect-smoke.mjs assert the connector's inferred
schema with no LLM credentials — the same introspection entry point ktx
ingest's database-schema stage uses, including the view-no-count path
- README.md documents the smoke and a full keyless ktx ingest run
(claude-code LLM + managed sentence-transformers embeddings)
Works with Docker Compose or podman compose. Verified end to end.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* chore: ignore examples/** in knip to fix dead-code false positives
The MongoDB connector example files (examples/mongodb/init/seed.js and
examples/mongodb/scripts/introspect-smoke.mjs) are used at runtime but were
flagged as unused by knip. Add examples/** to the ignore array, matching the
existing .context/** entry.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0114qQV8fJ5a5ME3XbMVRzbL
* fix(mongodb): refuse non-SQL connections before SQL analysis
`ktx sql` and the MCP sql_execution tool resolved a SQL-analysis dialect
(falling back to Postgres for a non-SQL driver) and ran read-only
validation before the connector capability gate refused the connection.
For a MongoDB connection that spun up the parser/daemon and produced
Postgres parser diagnostics instead of a clean non-SQL refusal.
Route both entry points through a shared assertSqlQueryableConnection
guard before dialect selection, mirroring compileLocalSlQuery. The
federated duckdb path has no driver and is exempted at each call site.
Add CLI and MCP regression tests asserting validation/connector work
never starts for a MongoDB connection.
* fix(mongodb): pass CI gates (dialect boundary, secrets, setup test)
Three latent failures in the connector surfaced once CI ran on the branch:
- connector.ts imported the concrete KtxMongoDbDialect, which the connector
dialect-import boundary forbids. Route it through getDialectForDriver('mongodb')
and widen inferKtxMongoCollectionColumns to the base KtxDialect (it only uses
mapDataType/mapToDimensionType).
- detect-secrets flagged a test ObjectId hex and the mongodb+srv example URL;
annotate both with allowlist pragmas.
- the "shows every supported database" setup test omitted the new MongoDB option.
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Co-authored-by: Luca Martial <48870843+luca-martial@users.noreply.github.com>
Co-authored-by: Luca Martial <lucamrtl@gmail.com>
Co-authored-by: Andrey Avtomonov <andreybavt@gmail.com>
* fix(gdrive): validate folder access, run config test, harden Drive API
Connection test and setup validation now verify folder_id resolves to an accessible Drive folder before counting Docs, via a shared verifyGdriveFolderAndCountDocs helper, so a wrong or unshared folder fails instead of passing with 0 docs.
Move gdrive-config.test.ts under test/ so Vitest's test/** glob actually runs it; escape folder_id in the Drive query; add retry/backoff on transient Google API responses; and record skipped non-Google-Doc files in the staged manifest.
* chore: sync uv.lock to ktx-daemon/ktx-sl 0.13.1
Split the fused directory concept into projectDir (what the agent config
references) and installRoot (where project-scoped files are written), so
users can install .claude/, .mcp.json, skills, and rules where they open
their agent instead of only in the ktx project directory.
- Add --install-dir <path> (resolved against cwd, created if missing,
mutually exclusive with --global/--local, rejected for claude-desktop).
- Add an interactive directory menu: ktx project dir / Current directory
(hidden when it equals the project dir) / Custom directory… / Global
scope (shown only when every target supports it).
- Expand a leading ~ in typed/quoted paths so the ~/… menu hints round-trip.
- Record installRoot in the install manifest and merge key; thread it
through file planning, MCP config paths, summaries, and next actions.
- Refresh uv.lock to 0.12.0 for the editable ktx-sl and ktx-daemon packages.
Verified the dbt, MetricFlow, LookML, Metabase, Looker, and Notion
sections of context-sources.mdx against the adapter code and fixed
claims that did not match the implementation:
- dbt: replace "test coverage" framing with the actual constraint/enum/
join derivation; name both overlay and wiki outputs; fix work-unit
granularity (per models/ schema file above 25 YAML files).
- MetricFlow: relationships come from entities (not dimensions); surface
the join edges they produce.
- LookML: chunking is one work unit per model (not connected component);
add the wiki output; note that a connection: mismatch disables SL writes.
- Metabase: dashboards are never fetched (no dashboard endpoint); work
units are per collection; "usage patterns" is really card output schema.
- Looker: drop invented "purpose/audience" framing; describe triage as a
prioritization gate; include Looks alongside explores and dashboards.
- Notion: not knowledge-only (it writes SL sources for mapped non-Notion
targets); remove the nonexistent database-schema extraction; reframe
"What it provides" as inputs; document root_data_source_ids.
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Fast mode (the ktx ingest --fast/--deep database-ingest depth toggle) is removed.
ktx ingest now always builds the full enriched ("deep") context. There is no
structural fallback: a database connection without a configured model and
embeddings fails the enrichment-readiness preflight before any work runs, with
a 'Run ktx setup to configure a model and embeddings' hint.
- Remove --fast/--deep flags, the per-connection context.depth field, and the
ktx setup depth prompt (delete setup-database-context-depth.ts).
- Rename ingest-depth.ts -> connection-drivers.ts; ingest always requests scan
mode 'enriched'; readiness gate (enrichmentReadinessGaps) runs for every
database target.
- Drop the database-context-depth telemetry step (Node + Python schema mirrors
regenerated).
- Update CLI, setup, context-build view, docs, the public ktx skill, and the
release-smoke / artifacts scripts (now assert the no-LLM guard failure).
ktx status --fast (a separate network-probe flag) is unchanged.
Follow-ups: KLO-726 (live progress for ktx ingest --all), KLO-727 (restore
credentialed successful-ingest release smoke coverage).
* feat(setup): drop redundant Snowflake schema prompt; fall back to free-text on listSchemas failure
Snowflake setup previously asked for a single schema as free text, then
ran a multiselect against the discovered schemas — two schema questions
back-to-back, with the first being only a session bootstrap. The SDK's
`schema` is optional, so the bootstrap step is unnecessary.
- Remove the free-text Snowflake schema prompt; only pass `schema` to
snowflake-sdk when one is configured.
- When `listSchemas()` fails (e.g. role lacks SHOW SCHEMAS), prompt the
user for a comma-separated list, persist it as `schema_names`, and use
it as both the table-list filter and the multiselect default. Applies
to every driver with a scope-discovery spec, not just Snowflake.
- Update docs to lead with `schema_names`; keep `schema_name` as a
documented single-schema shorthand.
* fix(snowflake): keep introspecting when primary-key discovery is denied
The PK query joins INFORMATION_SCHEMA.TABLE_CONSTRAINTS and
INFORMATION_SCHEMA.KEY_COLUMN_USAGE, which require grants the
connection role may not have. Previously a 'SQL compilation error:
Object ANALYTICS.INFORMATION_SCHEMA.KEY_COLUMN_USAGE does not exist
or not authorized' aborted the entire introspect — schemas, columns,
and row counts were all discarded over a missing nice-to-have.
Wrap the constraint query in try/catch, log a one-line warning per
schema, and return an empty PK map. Columns end up with
primaryKey=false; relationship inference still has FK and profiling
to fall back on.
* fix(scan): unblock relationship discovery on Snowflake
Two adjacent bugs prevented the scan's relationship pipeline from producing
any joins on a Snowflake warehouse:
- relationship-profiling.ts fell through to a default `GROUP_CONCAT` branch
for unknown drivers. Snowflake has no GROUP_CONCAT, so every per-table
profile query failed with "Unknown function GROUP_CONCAT". Add an explicit
Snowflake branch that uses LISTAGG with a literal '\x1f' delimiter
(Snowflake requires the delimiter to be a constant, so CHR(31) is rejected).
- description-generation.ts destructured `connector.sampleTable` and
`connector.sampleColumn` into bare locals, losing the `this` binding when
the class-method connectors (Snowflake, Postgres, MySQL) were invoked.
Every sample call threw "Cannot read properties of undefined (reading
'assertConnection')" and degraded LLM descriptions to metadata-only
prompts. Call the methods through the connector instead.
Without these, even after the primary-key probe is allowed to fail softly,
the scan ends up with 0 validated relationships and an empty `joins:` block
in every shard YAML.
* test(scan): cover table-ref helpers
* feat(scan): plumb tableScope through live-database introspection port
* feat(scan): apply tableScope during metadata fetch
* feat(scan): enforce table scope at fetch boundary
* feat(scan): pool Snowflake sessions and batch enrichment for faster ingest (#206)
* feat(cli): add RSA key-pair auth option to Snowflake setup wizard
Extends the interactive Snowflake setup flow with an authentication-method
prompt (password vs RSA/JWT key-pair). The RSA branch collects a private-key
path (env/file/absolute) and an optional passphrase; the resulting connection
config records `authMethod: 'rsa'` with `privateKey` and `passphrase` instead
of `password`.
* feat(scan): pool Snowflake sessions
* fix(scan): reuse structural snapshots and cleanup connectors
* feat(scan): parallelize relationship profiling
* feat(scan): batch table description generation
* docs: document Snowflake ingest concurrency knobs
* fix(scan): close Snowflake ingest perf verification gaps
* fix(scan): keep batched description failure bounded
* feat(scan): dispatch query-history probes by connection driver
Extract historic-sql dialect resolution into a shared helper so the
status-project readiness check and the local ingest factory agree on
which connections enable query history and which probe to run. The
status command now picks the postgres/snowflake/bigquery probe based on
the connection's driver instead of always reporting against postgres,
which previously caused snowflake connections with queryHistory.enabled
to surface a misleading "driver is snowflake" failure.
Also drops a noisy console.warn from Snowflake primary-key discovery —
INFORMATION_SCHEMA.KEY_COLUMN_USAGE is commonly ungranted for read-only
roles and the FK + profiling paths handle the empty PK map already.
* fix(llm): allow StructuredOutput tool and raise maxTurns for generateObject
The Claude Code agent SDK announces an internal pseudo-tool named
StructuredOutput in the system/init message whenever outputFormat is set
to { type: 'json_schema' }. The runtime's isolation check built its
allowedToolIds set only from MCP tool ids and treated StructuredOutput
as an unexpected host-injected tool, so every generateObject call threw
"Claude Code runtime isolation failed: tools=StructuredOutput ..." and
the table-descriptions and relationship-LLM-proposal enrichment stages
recorded null output across the board.
Whitelist StructuredOutput specifically in generateObject's
allowedToolIds — the check also enforces missing_tools symmetry, so
generateText and runAgentLoop, which do not see StructuredOutput, must
not require it.
generateObject also ran with maxTurns: 1, which the model intermittently
breached when it emitted thinking text before the structured response.
Raised to 5 to give the schema-bound call enough headroom without
allowing unbounded loops. The existing tests now exercise the path with
an init message that announces StructuredOutput so the regression cannot
slip back in.
* chore(scripts): add ktx-reset.sh project-cleanup helper
Convenience script for repeatable ingest testing: takes a project
directory and prunes everything except ktx.yaml and .ktx/secrets/, so
the next ktx setup or ktx ingest run starts from a known-clean state.
* refactor(workspace): relocate @ktx/llm source into packages/cli/src/llm
* refactor(workspace): rewrite @ktx/llm imports to relative paths
* refactor(workspace): fold internal packages into cli
* chore(workspace): gate dead-code with knip production mode
Turn on production-mode knip plus an autofix run in pre-commit and the
`pnpm dead-code` script, document the `/** @internal */` convention for
test-only exports in AGENTS.md, annotate test-only exports across the
CLI with that JSDoc, and drop dead exports/wrappers the new gate
surfaced (e.g. `cli-project.ts`, `lookerRuntimeSourceToFileAdapterSource`,
`createLocalScanEnrichmentProvidersFromConfig`,
`PGLITE_OWNER_PROCESS_BACKEND_CAPABILITIES`, stale type re-exports).
Replace the loose `ignoreIssues` allowlist in `knip.json` with explicit
production entries so cross-package barrel leaks are caught.
* refactor(cli): delete internal barrel index.ts files
The 34 `index.ts` re-export barrels inside `packages/cli/src/` were
holdovers from the pre-fold multi-workspace structure. Post-fold-in they
served no production purpose: external consumers go through the single
package main entry, and in-repo callers mostly imported through them
only because the path was short. Internally, knip flagged most barrel
re-exports as production-dead (only reached via tests).
This change:
- Deletes every internal barrel except `packages/cli/src/index.ts`
(the published package entry).
- Rewrites ~270 source/test files to import each name directly from
the file that defines it.
- Moves `tools/warehouse-verification/index.ts` to
`create-warehouse-verification-tools.ts` (the function it defined
locally) and updates its single consumer.
- Renames `search/backend-conformance.ts` → `.test-utils.ts` to match
the existing test-helper file convention.
- Deletes 13 dead test-only chains (dbt-descriptions/*,
live-database/extracted-schema, live-database/structural-sync,
relationship-* feedback/review chain) plus their tests and a
cascading orphan integration test.
- Updates test mocks that pointed at deleted barrel paths
(notion-client, connector barrels in scan/local-scan-connectors
tests) to mock the source files instead.
- Points the maintainer benchmark script
(`scripts/relationship-benchmark-report.mjs`) at source files
instead of `dist/context/scan/index.js`.
- Drops the barrel `!` entries from `knip.json`; adds explicit
production entries only for the benchmark code reached via dist by
the maintainer script.
Net: 413 files changed, ~1.2k insertions, ~9.4k deletions.
`pnpm run dead-code` (Biome + knip default + knip production) and
`pnpm run type-check` are clean; 2277 tests pass.
* refactor(workspace): rename @ktx/cli to @kaelio/ktx and pack it directly
Promote the CLI workspace package to the public name `@kaelio/ktx` and
drop the separate `scripts/build-public-npm-package.mjs` wrapper. The
CLI package is now publishable in place (`publishConfig.access: public`,
`provenance: true`), so artifact packing uses `pnpm pack` against
`packages/cli/` instead of assembling a parallel package tree.
Updates all workspace filter invocations, docs, tests, and release
readiness checks to reference the new package name, and folds the
tarball-name helper into `scripts/public-npm-release-metadata.mjs`.
* docs: align "agent clients" and "data agents" terminology
Replace "client agents" with "agent clients" and "database agents" with
"data agents" across AGENTS.md, README.md, the docs-site copy, and the
matching setup-agents test description, matching the canonical
vocabulary in docs/terminology.md.
Also moves packages/cli/tsconfig.json's tsBuildInfoFile from
node_modules/.cache/ to dist/.tsbuildinfo so incremental builds survive
node_modules reinstalls.
* refactor(release): single source of truth for package version
Make packages/cli/package.json the single source of truth for the
@kaelio/ktx version. publicNpmPackageVersion() now reads it directly,
so artifact filenames, release-readiness checks, and the Python wheel
version all derive from one field. The duplicate
release-policy.json.publicNpmPackageVersion is removed.
Previously the two fields could drift: tarballs were named
kaelio-ktx-0.4.1.tgz while internally containing
@kaelio/ktx@0.0.0-private.
- update-public-release-version.mjs rewrites both Python pyproject.toml
files (ktx-daemon, ktx-sl) alongside the npm package.jsons,
normalizing the version for PEP 440 (e.g. 0.1.0-rc.2 -> 0.1.0rc2).
- semantic-release-config.cjs adds the two pyproject.toml files to
@semantic-release/git assets so the release commit back to main
carries every version source in lockstep.
- The six "?? '0.0.0-private'" fallback literals across the CLI are
replaced with "?? getKtxCliPackageInfo().version", and
createDefaultKtxMcpServer makes its version arg required.
- docs/release.md describes the actual commit-back model: the dev tree
always reflects the most recent release; no sentinel pin to
maintain.
Verified: pnpm run artifacts:build now produces
kaelio-ktx-0.4.1.tgz and kaelio_ktx-0.4.1-py3-none-any.whl with
@kaelio/ktx@0.4.1 inside. Full type-check, dead-code, and
2287 vitests + 173 script tests pass.
* refactor(cli): inject embedding provider resolution and detect sentence-transformers runtime
Make resolveProjectEmbeddingProvider and runtimeIo injectable in ingest and
scan command entrypoints so tests can stub them, and teach
resolvePublicIngestRuntimeRequirements to flag the local-embeddings runtime
feature when ktx.yaml selects sentence-transformers.
* chore(cli): mark buildLocalStatsStatus and LocalStatsStatus as @internal
Both symbols are consumed only by status-project.test.ts. Annotating with
/** @internal */ keeps knip's production-mode check clean without changing
runtime behavior.
* fix(cli): use real package metadata in print-command-tree
The stubbed package name embedded a forbidden product identifier that
tripped the boundary check in CI. Read the metadata from package.json
instead — keeps the rendered tree unchanged and removes a duplicate
source of truth.
* feat(cli): show embedding coverage in `ktx status`, drop duplicate disk counts
Inline `(N embedded)` next to the Wiki scope counts and Semantic-layer
source counts, computed with `SUM(embedding_json IS NOT NULL)` over
`knowledge_pages` and `local_sl_sources`. Rename the "Knowledge" label to
"Wiki" (canonical per `docs/terminology.md`) and rename the matching
`localStats.knowledgePages` field to `localStats.wikiPages`.
Drop `wiki=N md` and `semantic-layer=N yaml` from the Disk row — those
duplicated the per-surface rows above. Disk now reports only actual byte
usage (db, cache, raw-sources). The unused `wikiGlobalMarkdownCount` /
`semanticLayerYamlCount` fields, the `isMarkdownEntry` / `isYamlEntry`
helpers, and the `filter` arg on `summarizeDir` are removed.
Bare invocations now do the obvious thing instead of erroring out, and mode-as-subcommand patterns collapse into flags on the parent. No new top-level commands.
- `ktx ingest` (bare) ingests every configured connection. The `text` subcommand is gone; capture inline notes with `ktx ingest --text "..."` and files with `ktx ingest --file path` (use `-` for stdin). `--text`/`--file` reject a positional connection id; pass `--connection-id` to tag captured notes.
- `ktx connection` (bare) lists; `ktx connection test` (bare) tests every configured connection.
- `ktx wiki` and `ktx sl` flatten `list`/`search`: bare lists, with a `[query...]` positional searches (multi-word joined with spaces). `sl validate` and `sl query` stay as distinct verbs and now read `--connection-id` from the parent.
- `ktx mcp` (bare) prints daemon status.
Adds a shared `resolveConnectionSelection` helper consumed by ingest and connection test. Updates README, docs-site cli-reference and guides, next-steps strings, agent SKILL templates, and all affected tests. Per-package type-check, unit tests (605), smoke tests, and dead-code checks all pass.
* docs: rewrite Semantic Querying concept with imperative-vs-declarative diagram
Reframe semantic-layer-internals.mdx around the contract the semantic
layer offers an agent: declare what you want (a Semantic Query), KTX
figures out how to compute it. Replaces the old "Context-Aware SQL"
framing with a clear imperative-vs-declarative narrative.
Adds a React Flow component (semantic-layer-flow.tsx) that contrasts a
buggy 4-table agent-authored SQL (chasm trap, LEFT-JOIN-in-WHERE,
hardcoded DATE_TRUNC) against the chasm-safe per-fact CTE SQL the
planner actually emits, including the outer GROUP BY over the requested
dimensions. Both lanes converge into a shared warehouse node and each
SQL card now has parallel bullet notes (failures on the left, KTX
behavior on the right).
Side fixes bundled in:
- include the /ktx basePath in the favicon metadata so the icon resolves
under the production prefix
- migrate docs-site/middleware.ts to docs-site/proxy.ts (Next 16 rename)
- redirect / to /ktx/docs/getting-started/introduction so the apex docs
URL works
- add tests covering the apex redirect, the favicon basePath, and the
middleware-to-proxy rename
- propagate the Semantic Query terminology across the ktx-sl CLI
reference, the context-layer concept page, and the agent-clients /
primary-sources integration pages
* Fix CI dead-code failures
* docs-site: polish semantic-layer-internals code blocks and flow diagram
- Make CodeBlock a server component so children traverse synchronously
under React 19 RSC streaming; previously extractText returned "" in
dev SSR, leaving code blocks empty.
- Add custom JSON/YAML/SQL/code-like tokenizers with theme-aware token
classes; drop the colored file-glyph dot and gradient tab-head.
- Tighten tab-head: subtle grey background, smaller monospace filename
in muted grey, smaller rectangular language pill placed to the left
of the filename.
- Polish the React Flow semantic-layer diagram (controls, fit-view
padding, edge types).
* docs-site: annotate imperative SQL, add section anchor, drop ClickHouse
- Wire numbered red badges to each problematic span in the "Without KTX"
SQL with hover sync between SQL gutter, lines, and the notes list.
- Add #imperative-vs-declarative anchor on the flow section header so
the eyebrow link is shareable; reveals a # glyph on hover/focus.
- Align the compiled-SQL note dots to the first-line midpoint
(mt-[6px] instead of mt-1) so 4px dots sit at y=8 in a 16px line.
- Remove all ClickHouse references from docs-site (primary-sources,
quickstart, ktx-setup, contributing, agents-setup, mechanics test,
warehouse drivers in the flow diagram).
* test: drop ClickHouse contributing-docs assertion
Align the workspace-package mirror test with the ClickHouse removal
from docs-site (75907eb). The connector-clickhouse package still
exists in packages/, but contributing.mdx no longer lists it, so the
test that mirrored docs against the workspace was failing.
* fix(cli): package Claude Desktop skills in one zip
* Polish ktx setup-agents output: hint, summaries, outro
* test: update setup agents output polish assertion
* Add output-polish follow-up plan
* docs: align Claude Desktop split-ZIP wording
Update README and the agent-clients docs page to reflect that ktx setup
now produces one uploadable ZIP per Claude Desktop skill under
.ktx/agents/claude/ (ktx-analytics.zip and optionally ktx.zip) instead
of a single combined ktx-skills.zip.
* feat(cli): style next-actions note in TTY mode
Add createAgentNextActionsLineFormatter, an ANSI line transformer wired
into the "Required before using agents" Clack note. It activates only
when the target stream reports hasColors(), so non-TTY pipelines and
tests keep the existing plain-text output byte-identical.
Per-line rules: cyan-bold step numbers + bold titles; dim sub-prose
aligned under the title; dim-cyan bullet for .zip paths with HOME
shortened to ~; dim "›" replaces " > " breadcrumbs; RUN/PASTE/USE/OPEN
markers dimmed; already-styled lines pass through to avoid double-wrap.
* docs: move output polish specs out of ktx
* docs: streamline quickstart
* feat(docs): simplify quickstart code-block styling
Remove the fake terminal chrome (traffic lights + zsh header) and language
pill from bash blocks, and the teal left-accent from output blocks. Bash
fences now render as minimal cards; text fences route to a muted "output"
preview. Make detectLanguage recursive and enable addLanguageClass in
source.config.ts so Shiki tokens carry through to the renderer. Switch
Shiki themes to min-light / github-dark and disable monospace ligatures so
flag pairs like --agents keep a visible space.
* fix(docs): restore quickstart CI snippets
* docs: align docs with current KTX behavior
* fix: generate valid agent sl query command
* docs: clarify KTX product mechanics
* fix: use <ol> for runtime pipeline steps in product mechanics
The PipelineStep component renders <li> elements, but the RuntimeDiagram
wrapper was a plain <div> instead of a list element. This produced invalid
HTML and accessibility warnings. IngestionDiagram already used <ol>.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* Add docs favicon
* docs: add semantic layer internals concept
* docs: refine documentation source label
* docs: clarify company documentation examples
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* docs: add CLI component reuse guidance
* docs: add unified ingest ux design
* Refine unified ingest UX design after adversarial review iteration 1
* Refine unified ingest UX design after adversarial review iteration 2
* Refine unified ingest UX design after adversarial review iteration 3
* feat(cli): route public connection ingest command
* feat(cli): hide standalone scan from public help
* feat(cli): plan public ingest depth and query history
* feat(cli): execute public database ingest facets
* feat(ingest): read connection query history config
* fix(cli): use public ingest wording
* fix(config): stop generating ingest adapter allow lists
* docs: document public ingest command
* test: align ingest surface expectations
* docs: add unified ingest public CLI surface plan
* feat(cli): preflight deep public ingest readiness
* feat(setup): store query history in connection context
* feat(setup): store database context depth
* feat(setup): verify context readiness by database depth
* fix(setup): keep context build foreground only
* fix(config): reject reserved ingest connection ids
* test: close unified ingest v1 expectations
* docs: add unified ingest v1 closure plan
* fix(ingest): bypass adapter allow-list for public source ingest
* fix(ingest): honor query history window intent
* fix(ingest): hide scan internals from public database ingest
* feat(ingest): use foreground view for interactive public ingest
* fix(setup): use schema context and query history wording
* test(cli): verify unified ingest public output
* docs: add unified ingest v1 public output closure plan
* fix(setup): forward query history flags
* fix(setup): prompt for postgres query history
* fix(status): report query history readiness
* fix(ingest): remove legacy public guidance
* fix(ingest): polish foreground retry copy
* docs(examples): use unified query history wording
* chore(ingest): finish public query history cleanup
* docs: add unified ingest v1 query history status cleanup plan
* test(docs): cover unified ingest public docs
* docs: align ingest CLI reference with unified UX
* docs: update context build guides for unified ingest
* docs: update setup and primary source ingest wording
* docs: stop advertising adapter-backed example ingest
* docs: close unified ingest public docs gaps
* docs: add unified ingest v1 docs site closure plan
* fix: render unified ingest foreground warnings
* fix: explain query history schema order
* fix: add public ingest retry guidance
* fix: align setup next steps with unified ingest
* fix: remove scan wording from demo progress
* test: verify unified ingest ux closure
* docs: add unified ingest v1 foreground and retry closure plan
* fix(cli): preserve query-history pull config in public ingest
* fix(cli): omit hidden commands from docs command tree
* test(cli): close unified ingest final public surface checks
* docs: add unified ingest v1 final public surface closure plan
* fix(cli): use public source labels in ingest reports
* fix(cli): suppress low-level public ingest output
* test(cli): verify unified ingest public plain output
* docs: add unified ingest v1 public plain output closure plan
* fix(cli): add public ingest copy sanitizers
* fix(cli): sanitize public ingest progress copy
* fix(cli): rename setup schema scope prompt
* docs(plan): add progress copy closure; test: align setup back-nav fixture
Adds the iter9 plan and updates the setup back-navigation test fixture
to pass disableQueryHistory plus listSchemas/listTables stubs that the
unified ingest setup step now requires.
* docs(plan): add final ux labels plan with narrowed label scans
* fix(cli): aggregate unsupported query-history warnings
* fix(cli): align setup database labels
* test(cli): fix setup database test type-check
* fix(cli): remove primary-source wording from setup output
* test(cli): verify unified ingest setup closure
* docs(plan): add unified ingest v1 verification copy closure plan
* fix(cli): remove top-level scan command
* fix(cli): remove legacy ingest and wiki commands
* Merge scan into ingest flow
* feat(cli): split ingest progress into per-phase rows, rename work units to tasks
Each database target in the unified ingest dashboard now renders one row per
real subprocess (Schema, then Query history when enabled) instead of a single
combined bar. Each phase has its own monotonic 0-100% bar so the progress
never snaps back to zero when historic-sql starts after scan completes.
Completed phases keep their final bar, summary, and elapsed time visible as
an inline audit trail; queued and skipped phases are shown explicitly.
Also rename user-facing "work units" / "Failed work units" to "tasks" /
"Failed tasks" in ingest output and parseIngestSummary. The parser still
accepts the legacy "Work units:" wording in captured output for backward
compat. Internal memory-flow event names and type fields are left alone.
* Fix test harness failures
* Fix CI smoke checks
---------
Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
