* feat: add codex sdk runner foundation
* feat: parse codex runtime events
* feat: expose codex runtime mcp tools
* feat: add codex llm runtime
* feat: wire codex llm backend
* test: avoid Array.fromAsync in codex runner test
* docs: document codex llm backend
* fix: tighten codex runtime config ownership
* fix: use codex sdk env and thread options
* fix: parse codex sdk event shapes
* test: add codex backend live smoke
* docs: clarify codex backend isolation
* fix: drive codex loop metrics from mcp events
* fix: enforce codex local step budget
* docs: disclose codex isolation limits
* fix: count all codex agent steps and stream step callbacks live
The agent-loop step budget only counted completed mcp_tool_call items, so
built-in command_execution steps (which the public Codex SDK/CLI surface can
still expose) never decremented the budget, letting ingest/reconciliation run
past stepBudget until Codex stopped on its own. onStepFinish was also replayed
only after the whole stream drained, so live work_unit_step / reconciliation
progress appeared stuck until the Codex process exited.
collectEvents is now the single live step accumulator: it counts every
completed agent-action item via a shared isCompletedAgentStep predicate
(command_execution, mcp_tool_call, file_change, web_search), fires onStepFinish
as each step completes, and enforces the budget on that broader count. A
no-tool turn still counts as one step. toolFailures stays MCP-specific, since a
non-zero command exit is normal agent exploration, not a loop failure.
* test: align ingest llm-guard assertions with codex backend
The skip-llm ingest guard message now lists codex as a valid backend and
mentions a Claude Code/Codex session plus a codex setup hint, but this slow
suite test still asserted the pre-codex wording. Update it to match the
production message (already covered by the local-bundle-runtime unit test) and
add the codex setup-line assertion.
* fix: treat codex error:null tool calls as success
The Codex SDK serializes error: null on successful mcp_tool_call items, so
the failure check (item.error !== undefined) flagged every successful tool
call as failed with the empty-payload default "Codex turn failed". This
killed every ingest work unit under the codex backend before it could
produce a patch.
Key on status === 'failed' (authoritative, always set) and only treat a
populated error object as a failure. Add a regression test built from a
verbatim real-SDK event capture.
* fix: default codex backend to gpt-5.5 and report real probe errors
The previous default gpt-5.3-codex is an API-key-only model that the OpenAI
API rejects under ChatGPT-account (subscription) auth, so codex status/setup
failed with a misleading "authentication is not usable" message even though
auth was fine.
- Default codex model is now gpt-5.5 (works on both subscription and API-key
auth); the curated setup picker offers gpt-5.5 / gpt-5.4 / gpt-5.4-mini and
keeps free-form entry for account-specific ids (e.g. gpt-5.3-codex-spark).
- runCodexAuthProbe now distinguishes "model not available" from an auth
failure and surfaces the real API error: collectEvents retains stream
events when the SDK throws on a non-zero exit, and the API error JSON
envelope is unwrapped to its human-readable message.
- The Codex isolation warning now renders inside the clack setup frame.
- Docs updated to gpt-5.5 with a note that *-codex ids require API-key auth.
* fix: require llm.models.default in status and match codex probe remediation
Status reported a project ready when a non-none LLM backend was configured
without llm.models.default, but the runtime (resolveModelSlots) hard-requires
it, so ingest/scan/memory threw after `ktx status` said the project was usable.
buildLlmStatus now fails for any non-none backend missing models.default and no
longer invents a fallback model for claude-code/codex.
Codex probe failures now carry a category-matched fix: a model-access failure
steers the user at llm.models.default instead of the auth/install remediation.
runCodexAuthProbe returns the fix and status consumes it; the message stays
self-sufficient so setup output is unchanged.
Docs: README now lists the codex backend and local Codex auth; ktx-setup.mdx
states --llm-model only accepts codex/default or gpt-*/codex-* ids.
Repaired four doctor fixtures that configured a backend without models.default
(the now-correctly-blocked config) and added coverage for the new behavior.
* feat(cli): share public ingest progress adapter
* feat(cli): stream plain public ingest progress
* test(cli): update plain ingest progress assertions
* chore(cli): satisfy plain ingest progress checks
* fix(artifacts): expect plain ingest stderr progress in installed-CLI smoke
* ci(coverage): make Codecov upload non-fatal and fix repo slug
The Coverage job failed because the Codecov upload returned
'Repository not found' while fail_ci_if_error was true, turning a
Codecov-side issue into a hard CI failure even though all tests pass.
- Set fail_ci_if_error: false on both uploads so Codecov outages or an
unlinked repo no longer break CI (upload stays best-effort).
- Correct the stale slug Kaelio/ktx -> Kaelio/ktx-ai-data-agents-context
to match the actual GitHub repo (aligns with main).
* fix(cli): isolate query-history failure capture from scan output
The plain public-ingest progress path passes one captured IO as the
target-level `io`. With progress deps set, both the schema scan and the
query-history ingest resolved their capture to that same shared buffer,
so a non-actionable query-history failure surfaced leftover scan report
text (e.g. "Mode: enriched") as the skipped-facet detail instead of the
real query-history message.
Give the query-history ingest a phase-local capture while preserving the
flow-to-io branch the foreground context-build view relies on.
---------
Co-authored-by: Andrey Avtomonov <7889985+andreybavt@users.noreply.github.com>
* feat(cli): profile ingest runs to find where wall-clock time goes
Add opt-in profiling for `ktx ingest`. Each timed phase, work unit, and
agent loop now records durationMs / step count / token usage in the
trace, and a post-run aggregator rolls them up into a "where did the
time go" report printed to stderr.
Enable per run with KTX_PROFILE_INGEST (1/true -> human table, json ->
raw structured profile) or persistently via `ingest.profile` in
ktx.yaml. The json form emits raw milliseconds, token counts, and a
summary.headline one-line diagnosis so coding agents can parse it
directly; json wins when both env and config request profiling.
- runtime-port: RunLoopMetrics (totalMs, usage, stepCount,
stepBoundariesMs) plus onMetrics callbacks on text/object generation
- ai-sdk + claude-code runtimes: capture per-loop timing and token usage
- work-unit-executor and stages 3/4: thread metrics into trace events
- ingest-bundle.runner: time worktree / triage / clustering / index /
reconcile / squash phases and emit the profile in a finally block
(best-effort; never affects the run outcome)
- ingest-profile: new trace+transcript aggregator with table/json formatters
- config: ingest.profile flag; docs: profiling section in ktx-ingest.mdx
* fix(cli): flush tool-call logs before reading ingest profile
Tool transcripts are appended fire-and-forget so the agent hot path never
blocks on logging. The ingest profiler read them before the writes settled,
so per-work-unit toolMs (and the model-vs-tool split derived from it) could
be incomplete. Track in-flight appends and expose flushToolCallLogs() —
bounded by a timeout so it can never hang — and flush before the profiler
reads the transcript.
* feat(completion): complete known argument values
* fix(completion): hide Commander-hidden subcommands from completions
Replace the `__`-prefix name heuristic with Commander's `_hidden` flag so
internal subcommands registered with { hidden: true } (e.g. `mcp serve-internal`)
are excluded from completions, mirroring `ktx --help`.
* test: cover wiki and sl read command routing
* test: cover raw wiki and sl reads
* feat: add wiki read command
* feat: add sl read command
* feat: complete read command entity names
* docs: document wiki and sl read commands
* test: include read commands in command tree
* feat(sl): read and validate unique sources by name
* feat(sl): make read and validate connection id optional
* fix(completion): dedupe semantic source names
* docs(sl): document connection-optional read and validate
* fix(sl): require connection id for query command
* docs(sl): clarify query connection requirement
* fix(completion): don't resolve option values as subcommands
resolveCommand skipped flag tokens but not the value consumed by a
value-taking option in the `--flag value` form, so a connection id like
`query` was matched as the `sl query` subcommand and yielded no `sl`
completions. Track value-taking options and skip their consumed value
before matching subcommands.
* test(telemetry): assert first-run notice via TELEMETRY_NOTICE constant
CI (which tests this branch merged with main) failed because #243 changed
the first-run notice wording in identity.ts (dropped "anonymous") but left
this test grepping for the old literal 'ktx collects anonymous usage data',
so indexOf returned -1. Assert against the exported TELEMETRY_NOTICE
constant instead so the test tracks the source of truth and cannot drift
when the notice text changes again.
* fix(cli): derive ingest outcomes from saved artifacts
* fix(cli): treat artifact-producing ingests with failures as partial
* fix(cli): route memory-flow run status through shared ingest outcome
* fix(cli): treat partial ingest as saved context in setup status
* test(cli): align memory-flow replay expectations with partial ingests
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).
Notion's setup path read --source-api-key-ref while writing the auth_token_ref
config field, so --source-auth-token-ref was silently dropped. Align Notion to
the flag=field convention every other connector follows: it now reads
--source-auth-token-ref, and --source-api-key-ref becomes Metabase-only.
Also add validation rejecting any credential-ref flag not applicable to the
chosen --source, with a pointer to the correct flag, closing the silent-drop
class for all connectors.
Update CLI-reference docs, the ktx skill Notion example, and tests.
Fixes KLO-724.
ktx setup wiped ktx.yaml, .ktx/setup/state.json, wiki/, semantic-layer/,
raw-sources/, and .git/ — or removed the entire project dir — whenever any
single source in the context-build step failed, destroying hours of ingest
work and the persisted resume state. The cleanup hint was designed for an
"early abort, leave no trace" semantic but was applied indiscriminately to
every later step failure, in direct conflict with the .ktx/setup/state.json
resume mechanism.
Drop the cleanup mechanism entirely (KtxSetupCreatedProjectCleanup,
cleanupForFolderState, createProjectWithCleanup, cleanupCreatedProjectScaffold,
and the createdProjectCleanup plumbing through KtxSetupProjectResult). Step
failures now return non-zero without touching the filesystem, so re-running
ktx setup continues from completed steps and only re-attempts failed sources.
Rewrites the two tests that documented the wipe behavior to assert
preservation, and adds a regression test that simulates partial context-build
artifacts (state.json, wiki/, semantic-layer/) and verifies all survive a
failed context step.
Refs KLO-719
The Claude Code runtime counted every SDKAssistantMessage with
parent_tool_use_id === null as a step, but the SDK emits extra messages
within a single num_turns round-trip — `stop_reason: 'pause_turn'`
continuations and errored partials it retries internally. The local
counter then outran maxTurns and the ingest HUD rendered confusing
ratios like `step 69/40`.
Filter both cases in collectResult so stepIndex tracks num_turns and
stays bounded by the work-unit stepBudget.
The emit_historic_sql_evidence tool took rawPath as LLM-supplied input,
so projection actions frequently lacked defensible raw paths and every
row in bundle_ingest_reports fell through as actionType: 'skipped' with
null artifact metadata, hiding the wiki pages and SL merges the run had
actually produced (KLO-698).
The tool now reads the work unit's rawFiles from session.allowedRawPaths
and stores them on the evidence envelope; the projection emits actions
with those paths, and stale/archive actions are anchored to manifest.json
so they also surface as non-skipped provenance rows.
* feat(cli): define full warehouse dialect contract
* test(cli): keep dialect edge tests focused
* fix(cli): stabilize dialect contract foundation
* refactor(connectors): own read-only query preparation
* refactor(connectors): resolve dialects through registry
* refactor(connectors): keep concrete dialect classes internal
* chore(workspace): enforce dialect import boundary
* refactor(cli): resolve relationship dialect at scan boundary
* refactor(cli): use dialect display parsing for entity details
* refactor(cli): use dialect display parsing for warehouse catalog
* refactor(cli): use dialect SQL in relationship workflows
* test(cli): verify solid dialect scan workflow closure
* test: split cli tests from source tree
* refactor(cli): standardize BigQuery scope listing
* feat(sqlite): implement connector scope listing
* test(connectors): cover required table listing
* feat(cli): add warehouse driver registry
* refactor(setup): route scope discovery through driver registry
* refactor(cli): route local query execution through driver registry
* refactor(historic-sql): route dialect support through driver registry
* refactor(cli): test warehouse connections through driver registry
* fix(cli): close driver registry type export gaps
* Improve setup daemon diagnostics
* refactor(setup): centralize rail-prefixed diagnostics + query-history fallback
Extract errorMessage, writePrefixedLines, and flushPrefixedBufferedCommandOutput
into clack.ts so the setup wizard, managed daemons, and embedding/agent steps
share one rail-formatted writer. setup-databases.ts also adds a
"disable query history and retry" option when the schema-context build fails
and query history is the likely culprit, surfaced via a new
failed-query-history-unavailable status.
* fix(cli): carry catalog through the picker so BigQuery/Snowflake/SQL Server scope filters match
The setup picker's KtxTableListEntry was a 2-level { schema, name }, so
qualifiedTableId always wrote db.name into enabled_tables. When BigQuery,
Snowflake, or SQL Server later ran fast ingest, their introspect step filtered
the scope set with scopedTableNames(scope, { catalog: projectId|database, db })
— catalog was non-null on the introspect side but null in the scope refs, so
every entry was rejected, the live-database adapter staged zero table files,
and detect() failed with 'Adapter "live-database" did not recognize fetched
source output'.
Align the picker boundary with the canonical 3-level KtxTableRef:
- Add catalog: string | null to KtxTableListEntry.
- BigQuery/Snowflake/SQL Server listTables populate catalog from the
resolved projectId / database; Postgres/MySQL/ClickHouse/SQLite set null.
- qualifiedTableId emits catalog.schema.name when catalog is non-null
(resolveEnabledTables already accepts the 3-part shape) and
schemasFromEnabledTables now goes through parseDottedTableEntry so it
recovers the schema correctly from both 2-part and 3-part entries.
- Export parseDottedTableEntry from enabled-tables.ts (@internal) for picker
reuse.
Update listTables expectations in all seven connector tests and the setup /
picker test fixtures. Add a picker regression test that covers the
catalog-bearing round-trip (save + refine).
* fix(cli): allow debug telemetry under opt-out env
