They are shared infra (the orchestrator uses them for workflow repo-knowledge,
not just the router chat layer), so [router.embedder]/[router.l3] was misleading.
Loader/writer use the new names; legacy [router.*] still read as a fallback.
Also notes the STEERING LLM-reformulation cost as a ponytail follow-up.
Found while live-QAing freestyle_planning on a 12B local model:
- list_dir tool: recursive, .gitignore-aware listing so weak models stop
flooding context with `ls -R` over node_modules/build/dist. Wired into
the fileRead toggle + advertised to the planner (architect_freestyle).
- ContextClassifier: assistantToolCall turns are STRUCTURED, so the token
pruner never shreds the model's own tool-call history — that was causing
amnesia loops (re-issuing calls it had already made).
- Retire instruction-doc LLMLingua pruning (DOC_SOURCE_TYPES emptied): it
fused load-bearing procedural text into unparseable soup. The static
block stays small by dropping CLAUDE.md at the loader instead.
- AgentInstructionsLoader: load only AGENTS.md, not CLAUDE.md — the latter
targets the outer assistant and polluted the agent's stage context.
- DefaultSessionReducer: WorkflowFailed flips session status to FAILED (was
stuck ACTIVE forever, so clients/approval loops never saw a terminal).
- ShellTool: run shell command lines (cd/&&/pipes) via `sh -c`; unrunnable
program is recoverable instead of an uncaught IOException killing the
stage; malformed argv (non-string/collapsed-array) rejected with guidance.
- llmlingua sidecar: cap force_tokens to max_force_token (big docs blew the
assert and 500'd, so doc pruning silently failed open).
Tests added/updated across all of the above.
Move embedder construction ahead of the engines so the context pack builder ranks
freeform turns by query relevance (query-conditioned selection). Default
compression_level 4 (format + static cache + token pruning + age-tiering) for a 12b
on a 16k window.
Enable autonomous QA through a remote OpenAI-compatible provider (NVIDIA NIM)
and harden the tool/approval path so unattended multi-stage runs complete.
- inference: add openai_compat provider (Bearer chat-completions for NIM/OpenAI),
dispatched by provider type "nim"/"openai"; key via api_key/api_key_env.
- server: bind configured [server] host/port instead of a hardcoded 8080;
POST /sessions accepts an optional `intent` (WS parity) for intent-driven workflows.
- kernel: thread the bound operator profile's approval_mode into per-tool gating so
auto/yolo enable unattended approval (engine still consulted; policy/plane-2 BLOCK
stays terminal); on a recoverable tool failure feed the tool's arg-schema back into
context so the model self-corrects instead of repeating a malformed call.
- tools: split deletion out of file_write into a separate, explicitly-named file_delete
tool — a model can no longer delete a file by getting a write-mode parameter wrong.
- server: add GET /metrics/tool-reliability — per-model tool-call validity from the
event log (measurement groundwork for capability-aware routing).
- docs: update AGENTS.md across kernel, tools, server, inference.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Root Child DOX Index assembled, plus a per-module AGENTS.md across the tree
(core/*, infrastructure/*, apps/*, testing/*, and docs/examples/frontend/etc),
each following the DOX section shape: Purpose, Ownership, Local Contracts,
Work Guidance, Verification, Child DOX Index.
On session start, discover CLAUDE.md and AGENTS.md at the bound workspace root and inject
their (concatenated, header-labeled) contents as an L0 system context entry for every stage —
mirroring the .correx/project.toml ProjectProfile path end to end. Recorded as
AgentInstructionsBoundEvent (invariant #9) so replay reads the recorded fact, not the live
file; folded into SessionState.boundAgentInstructions and rendered by buildAgentInstructionsEntry
right after the project profile. AgentInstructionsLoader reads root-only, both files if present.
Bound via ServerModule.bindAgentInstructions alongside bindProjectProfile.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Promote an auto-captured idea from the cross-session board into the curated per-repo
profile at <workspaceRoot>/.correx/project.toml as a `conventions` entry. New
IdeaPromotedEvent tombstones the idea off the board (IdeaReader treats it like a
discard) and records the promotion as a fact; the server PromoteIdea handler loads
the profile, appends the idea text (deduped via ProjectProfile.withConvention), and
writes it back. Adds ProjectProfileWriter (escape-aware TOML serialize/write) and
makes SimpleToml's reader unescape \\ and \" symmetrically with the writers
(fixes a pre-existing read/write asymmetry surfaced by the round-trip test).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- EventStoreLatencyProbe: times a side-effect-free lastGlobalSequence read,
wired into HealthMonitor; HealthConfig.eventStoreWarnLatencyMs (BACKLOG A §4)
- LlamaServerHealthProbe: liveness + tokens/sec degradation trend, injectable
client (HttpLlamaLivenessClient over Ktor); deterministic unit tests
- llama probe left unregistered (TODO) — HttpClient not in monitor scope yet
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Third HealthProbe (after disk + llama): times a cheap lastGlobalSequence()
read as an event-store responsiveness heartbeat — DEGRADED on throw or when
latency exceeds eventStoreLatencyWarnMs (default 500). Read-only by design
(no probe writes into the source-of-truth log; Invariant #1). Plugs into the
existing HealthMonitor; no new events. Observability spec §4.
Also wraps a long line in LlamaServerHealthProbeTest to clear a detekt
MaxLineLength finding introduced in aaf896d.
Second HealthProbe (after disk-watermark): liveness via GET /health on the
configured llama base URL + tokens/sec degradation watch derived from recorded
InferenceCompletedEvents (windowed average vs configurable threshold, opt-in via
llamaTpsWarnBelow). Plugs into the existing HealthMonitor edge-detection loop;
no new events. Observability spec §4.
[tools.research].enabled now defaults true, matching shell/file tools. Safe because
web_fetch is T2 — nothing leaves the machine without operator approval regardless of
the flag; the flag only controls whether the tools are registered. web_search (T1) hits
only the configured SearXNG endpoint.
Makes the research feature runnable end-to-end, off by default.
- config: [tools.research] (enabled, searxng_url, max_results, max_fetch_bytes).
- registration: web_search/web_fetch are built into BOTH the default and per-workspace
tool registries when research.enabled, sharing one HTTP client threaded from Main
(none built on the static path). Egress stays harness-enforced: web_fetch is T2
(operator-approved) and the existing NetworkHostRule still applies.
- workflow: examples/workflows/research.toml — decompose → gather → report, with the
three artifact schemas and prompts. Fan-out (search per sub-question, fetch per source)
runs as repeated tool calls inside the gather stage (Correx has no parallel agents);
per-source synthesis into the dossier is the compression step, so the report stage
consumes summaries, never raw pages. ResearchWorkflowTest validates the graph contract.
To run: set [tools.research].enabled, register the 3 [[artifacts]], copy research.toml +
prompts + schemas into the workflows dir, start SearXNG. Launch like any workflow (the
T2 fetch approval surfaces as an approval card; the report opens in the artifact viewer).
Follow-ups (noted, not blocking): batch fetch-approval at the source-list level (§3),
a dedicated SourceFetched/LowQualityExtraction event (quality + content hash are already
in tool-result metadata), dynamic per-session egress allowlist, and the web approval client (§6).
Health states are events. A HealthMonitor polls registered HealthProbes on an
interval and appends HealthDegraded/HealthRestored only on a status transition
(hysteresis), so health is observable, replayable, and renderable like every
other fact in the log. The probe reads nondeterministic environment state and
records it at observe-time (Invariant #9); HealthProjection rebuilds current
health by replay, never re-probing (Invariant #8). Monitor is live-only, started
in ServerModule.start alongside narration; seeded from the projection so a
restart does not re-emit a degraded the log already records.
First concrete probe: DiskWatermarkProbe — event-log + CAS size and growth rate,
warning before the 2am surprise. Read surface mirrors `correx stats`:
GET /health/checks replays the system session and `correx health` renders it.
Health events ride the reserved __system__ session, filtered from operator
session listings.
LLAMA_SERVER (liveness + tokens/sec trend) and EVENT_STORE (append/fsync latency)
probes plug into the same HealthProbe framework as follow-ups.
Every TUI config-editor save regenerates the TOML through
CorrexConfigWriter, whose [router.narration] section never wrote
model_id — one save and narration silently fell back to the main
model, queueing every narration behind slow 9B inferences (live QA:
approval narrations arrived minutes late, after the workflow had
already failed). The writer now persists it and the field is editable
in the TUI (blank clears it).
#2: approval pauses narrate from ApprovalRequestedEvent (carries
tool/tier/preview/stage directly) instead of OrchestrationPaused +
a pending-approvals map the next event had not yet populated — the
narrator always lost that race and produced generic text.
#3: NarrationTrigger now carries the triggering event's stageId; the
narration status line and RouterNarrationEvent.stageId use it instead
of the router projection's currentStageId, which terminal events have
already cleared ('Stage: none').
#9: ExecutionPlanLocked -> plan.locked and ArtifactValidated ->
artifact.validated mapped to the TUI (Go: feed lines, plan shows the
compiled stage chain); ArtifactValidating explicitly dropped.
#10: blank router turn guard — a length-finish with empty text now
emits an explanatory turn naming the max_tokens budget instead of a
silent blank; blank steering responses no longer emit steering notes.
#12: resumeAbandoned only auto-resumes sessions whose last event is
within orchestration.resume_abandoned_max_age_minutes (default 24h,
0 disables); staler sessions stay parked for POST /resume. Knob is
TUI-editable and persisted.
The line-based parser treated 'conventions = [' as the complete value,
binding conventions to listOf("[") and dropping every entry on the
following lines. Accumulate value lines until the top-level bracket
closes (quote-aware), skipping comments inside the array.
[router.narration] model_id selects which provider handles narration turns
instead of generic capability routing — lets a small/fast model own narration
while the main model keeps CHAT/STEERING.
- NarrationSettings.modelId parsed from TOML, threaded via RouterConfig
.narrationModelId into DefaultRouterFacade.narrate (3-arg route)
- DefaultInferenceRouter: exact-id match against healthy providers, with a
post-select health check; any miss logs WARN and falls back to capability
routing (never fails the narration turn)
- onUserInput unchanged — only narrate uses the pinned model (tested)
Two operator features over the existing WebSocket protocol, plus a tui-go nav fix.
Config editor (g / palette "config"):
- core:config gains a thin registry stack: OrchestrationKnobs ([orchestration]
block), CorrexConfigWriter (round-trip TOML serializer; parseToml(write(c))==c),
ConfigHolder (AtomicReference live config), and EditableConfig (allowlist of
editable fields + patch applier; security fields are absent so they can never
be patched).
- ConfigService validates -> persists (atomic temp+move) -> swaps the holder ->
rebuilds config-derived services. Live-apply is scoped to safe seams: stage
timeout, compaction threshold (now a supplier), router knobs (routerFacade
rebuild), and personalization/project toggles all take effect on the next
session/turn; in-flight sessions keep the config they started with.
server.host/port are persisted + badged "restart required", not hot-swapped.
- Protocol: GetConfig / UpdateConfig / ConfigSnapshot; TUI overlay with
type-aware editing (bool toggle, enum cycle, inline int/string edit) and save.
Artifact viewer (v / palette "artifacts"):
- Server assembles a session's artifacts from the event log and resolves bytes
from the CAS store (StreamQueries.listArtifacts) — a replay-neutral snapshot
read. TUI overlay lists artifacts and shows scrollable content.
tui-go fix: workflow failure no longer clears selectedID (which yanked the user
to the list); listNav lands on the first session when nothing is selected
instead of wrapping to a random one.
Config is not event-sourced (it lives in TOML); editing stays outside the log.
The router/narration model behaviour was hardcoded (Main built RouterConfig()
with defaults). Surface it under the [router] section so it's tunable without a
rebuild:
[router] conversation_keep_last, retrieval_k, token_budget
[router.generation] temperature, top_p, max_tokens (chat/steering)
[router.narration] temperature, top_p, max_tokens, max_per_run
ConfigLoader parses the new sections (adds asDouble); Main maps the config-layer
RouterConfig onto the domain RouterConfig and threads narration.max_per_run into
ServerModule. All values default to the previous constants, so behaviour is
unchanged when the sections are absent. Documents the block in sample-config.toml
and adds parser tests for present/absent cases.
Resolve a client-supplied workspace dir safely: canonicalize via toRealPath,
reject privileged locations, clamp to [tools] allowed_workspace_roots (permissive
when unset, logged), fall back to the boot default on any rejection. PathJail made
non-internal so the server can reuse its symlink-safe containment. (Axis 2 Phase A, task 4.)
Users declare artifact kinds in [[artifacts]] (id + schema_path to a JSON-schema file + llm_emitted); ConfigArtifactKind registers them at startup via createWorkflowLoader(extraKinds). New JsonSchemaValidator validates any non-built-in kind generically against its declared deriveJsonSchema(), so an LLM-emitted custom kind is checked against its shape, never trusted. Removed the dead payloadSerializer from the ArtifactKind contract. Schema source is path-to-file (not inline TOML — the hand-rolled parser can't nest).
[[models]] config (ModelConfig/ModelsSettings) parsed by ConfigLoader;
InfrastructureModule.createModelManager + modelConfigToDescriptor; Main.kt
managed boot path spawns the default llama-server when [[models]] is present
(static [[providers]] path preserved when absent) and kills it on shutdown.
Plan: docs/plans/2026-05-31-model-lifecycle-management.md (slice 1 of 5).
Implements the full vertical slice for invariant #9 tool-call assessment:
- core:toolintent — new module with ToolCallRule seam, ToolCallAssessor,
WorldProbe/FileSystemWorldProbe, WorkspacePolicy, PathContainmentRule,
and RiskMapping (assessment → RiskSummary / AssessedIssue)
- core:tools — ToolCallAssessmentRecord + ToolInvocationRecord.assessment
field; DefaultToolReducer handles ToolCallAssessedEvent (replay proof)
- core:config — ToolsConfig gains workspaceRoot + privilegedLocations;
ConfigLoader parses both; DEFAULT_PRIVILEGED_LOCATIONS built-in
- core:kernel — OrchestratorEngines gains toolCallAssessor/workspacePolicy/
worldProbe fields; SessionOrchestrator.dispatchToolCalls runs
runPlane2Assessment before the tier gate: BLOCK → hard-reject without
executing; PROMPT_USER → elevates tier into approval path with plane2Risk
in the ApprovalRequestedEvent
- apps/server — constructs PathContainmentRule + ToolCallAssessor +
WorkspacePolicy from config and wires them into OrchestratorEngines
Assessment is recorded as ToolCallAssessedEvent (environment observed once,
facts stored, replay reads events — invariant #9). Assessor and WorldProbe
are only invoked on the live orchestrator path, never in replay.
Remove the wall-clock approval timeout that auto-rejected pending approvals.
The timeout modeled machine latency, but approvals are human latency
(unbounded); it also created an intent/outcome divergence where a human
approving at the same instant the timeout fired was silently overridden by
the auto-reject. Approvals now block until the operator decides; the
resolved-request dedup still guards against double-submit.
Add ServerMessage.ApprovalResolved and map ApprovalDecisionResolvedEvent to
it in DomainEventMapper so clients are notified when any approval is resolved
(by anyone) — letting a second connected client clear its prompt. This is the
event-sourced replacement for the removed timeout notification path.
Drop the now-dead ApprovalConfig (timeout_ms) and its loader/test/sample-config
references. ApprovalStatus.TIMED_OUT is retained for replay of historical events.
Adds [router.embedder] and [router.l3] sections to CorrexConfig with
backend selectors. Ships LlamaCppEmbedder that hits llama.cpp's
/embedding endpoint (handles OpenAI-compatible, simple, and array
response shapes; validates dimension). InfrastructureModule gains
createEmbedderFromConfig and createL3MemoryStoreFromConfig that
dispatch on backend value.
Defaults preserve current behavior (noop embedder + in-memory L3).
Switching to "llamacpp" / "turbovec" is a config-only change — no code
edits required. For turbovec backend, the bundled python sidecar
script is extracted from classpath to ~/.cache/correx/ on first use.
Adds ProviderConfig + providers list and per-tool enabled flags to
CorrexConfig, and rewires apps/server/Main to build the provider list
from config instead of the hardcoded buildLlamaProvider() factory. Env
vars (CORREX_MODEL_ID, CORREX_MODEL_PATH, CORREX_LLAMA_URL) remain a
fallback only when no providers are declared in config.
Completes slice A of the config layer alongside commit 0834c70 which
already shipped the TOML parser upgrade and sample config — those
parser changes referenced these types but were committed prematurely
in isolation; this commit makes HEAD buildable.
- Add support for nested table headers ([tools.shell], [tools.file_read], etc.)
- Add support for inline tables (capabilities = { General = 1.0, Coding = 0.7 })
- Add support for JSON-style arrays (shell_allowed_executables = ["bash", "sh"])
- Maintain backward compatibility with old CSV formats (deprecated, logged as warnings)
- Refactor buildConfig() to handle new value types (Map, List, Boolean, Number)
- Update docs/sample-config.toml to use clean TOML shapes
- Add comprehensive tests for inline tables, nested sections, JSON arrays, and fallback parsing
- Remove ugly workarounds: capabilities no longer a CSV string, tool flags now in proper nested sections
Deletes 21 Module.kt scaffolding objects that were never wired into any DI
registry. Removes unused imports across 8 production and 3 test files.
Restores StageExecutor, CyclePolicyResolver, PolicyValidation, and
ReplayContractTest — these are deferred features, not dead code.
kami