GenerationConfig only carried temperature/top_p/max_tokens/stop/seed. Added nullable
topK/minP/repeatPenalty, serialized to the llama.cpp and OpenAI-compat request bodies
via @EncodeDefault(NEVER) so an unset knob is omitted (the model keeps its own default)
and behavior is unchanged unless the operator opts in.
Surfaced as a new [sampling] config section feeding the default stage GenerationConfig
(the main agentic loop) through TomlWorkflowLoader + ExecutionPlanCompiler; the former
hardcoded temperature=0.7/topP=1.0 stage defaults now come from config. Talkie
chat/narration keep their own generation settings.
Vikunja #46 (task 76) — sampling half.
Threads reasoning_content across inference calls and journal renders, filters
markdown noise out of L3 repo-knowledge retrieval, adds PlanLinter H3 checks,
and tightens filesystem tool output/dir-listing behavior surfaced by prior
live QA (see project_readloop_campaign memory).
Adds a nullable `reasoning` field to InferenceResponse and maps the
llama.cpp / OpenAI-compat `reasoning_content` field into it, so local models
that emit their chain-of-thought have it captured. Provider/model side only —
the emit-site event field (reasoningArtifactId) + CAS storage in the
orchestrator are still pending (tracked in Vikunja Correx #4).
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.
The router matched only the adapter-prefixed registry id
(llama-cpp:narrator) while the operator's [router.narration] model_id
naturally repeats the bare [[providers]] id (narrator), so the match
always failed and narration silently fell back to the slow main model.
Match either form.
Strict chat templates (Qwen3.5) reject any system message after index 0.
Recalled L3 memory, L2 stage summaries, and retrieval entries carry
EntryRole.SYSTEM and rendered as standalone mid-conversation system turns,
making llama-server 400 on every router turn once L3 recall returned hits.
[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)
Tool-calling loops were rendered as all-assistant-calls-then-all-tool-results
with the original task last, causing the model to re-issue the same tool call
indefinitely. Two stacked reorderings caused it:
- DefaultContextPackBuilder grouped entries by sourceType for per-type
compression, discarding a,t,a,t interleaving.
- PromptRenderer forced L1 (the live user turn) to render last, pushing the
task after the entire transcript.
- SessionOrchestrator's tool loop re-fed currentContext.layers.values.flatten()
(grouped by layer) each round, compounding the scramble.
Add a chronological `ordinal` to ContextEntry, stamped by the builder from
input order and restored after grouping/compression (the compressor preserves
entry identity, so ordinals survive). PromptRenderer now orders non-system
messages by ordinal, with the old L1-last layer priority kept only as a
tiebreak so router chat (ordinal 0) is unchanged. The orchestrator keeps a
running ordered accumulator instead of reading back the grouped pack.
Adds builder + renderer ordering regression tests.
- LlamaCppInferenceProvider: check HTTP status and surface the real error body instead of masking it as a ChatCompletionResponse deserialization failure
- PromptRenderer: render the live conversation layer (L1) last so the user turn is the final message (fixes Qwen 'No user query found' 500 when L3 recall is present)
- TomlWorkflowLoader: resolve stage prompts relative to the workflow file's own dir (bundle), CWD-independent; config-dir fallback for globals
- SessionOrchestrator: hard-fail a stage whose declared prompt can't resolve (was a silent user-less request)
- move healthcheck prompts next to the example workflow (examples/workflows/prompts/)
StageConfig.modelId; InferenceRouter gains a backward-compatible model-aware
route() overload (default ignores modelId, so static routers and test fakes are
unaffected). New ManagedInferenceRouter (infra commons) resolves a target model
per stage (stage.modelId > capability match > default) and ensureLoaded()s it
before routing, returning the live managed provider — its id changes with the
resident model, so there is no stale health cache to invalidate on swap.
ModelManager.ensureLoaded default delegates to the idempotent load(). Main wires
the managed router on the [[models]] path; the static path keeps DefaultInferenceRouter.
Plan: docs/plans/2026-05-31-model-lifecycle-management.md (slice 2 of 5).
Introduces Embedder contract in core:inference with a NoopEmbedder
default (zero vector) and wires both Embedder and L3MemoryStore into
DefaultRouterFacade. Each ChatTurnEvent emission now embeds the turn
content and writes a corresponding L3MemoryEntry, so cross-session
memory is captured at the source of truth (the event emission point).
InfrastructureModule defaults to NoopEmbedder + InMemoryL3MemoryStore
so the system runs without an external embedding model or vector store
wired. The TurboVec adapter stays unwired for now; switching to it is
a configuration concern (Epic 12 config layer).
Also gitignores apps/tui/logs/ (Kotlin TUI runtime logs, pre-Go rewrite).
Extract message-rendering logic from LlamaCppInferenceProvider into a
provider-agnostic PromptRenderer in core:inference. SessionOrchestrator
now serializes the rendered ChatMessage list as JSON for the prompt
artifact, so the audit trail reflects what the LLM actually saw.
Resolves the TODO at SessionOrchestrator.kt:691.
fixed detekt issues where possible.
fixed disttar failing build because tools is added twice in the server module.
added workflowId where required.
fixed some tests not being recognized because of runBlocking without explicit return type.
formatting + imports.
Implements the full conversational router facade: RouterState, RouterReducer,
RouterProjector, RouterRepository, RouterContextBuilder, RouterFacade, protocol
types, WebSocket wiring, infrastructure factory, and deterministic test suite.
Also fixes spec divergences found in post-implementation review:
- Add SteeringNote domain object to core:context (epic prerequisite)
- Rename RouterFacade.handleChat → onUserInput per spec interface contract
- Add in-memory ConcurrentHashMap conversation history to DefaultRouterFacade
- Make RouterRepository.getRouterState suspend
- Rename RouterConfig.keepLast → conversationKeepLast, fix defaults (6, 4096)
- Refactor InfrastructureModule.createRouterFacade to self-assemble internally
- Fix FileReadTool: allowedPaths was dead constructor param (@SuppressUnusedParameter);
now stored as private val and enforced in validateRequest
- Disable koverVerify on modules tested via testing/ submodules or with
hardware/integration dependencies (24 modules); build gate now passes clean
kami