feat: graph context injection — the session's prior knowledge, steered in at session start (vision-context-injection.md)
One shot per chat, fired at the first turn's onFinish: the session's topic (its only typed message) is embedded as an EmbeddingGemma retrieval query; the semantically closest graph propositions are selected under the session's token budget (pure budget, no similarity threshold — the decided doctrine) and delivered as a marker-only steer through the wake pipeline, queuing behind pending questions like every sub-agent result. - contracts: ChatSettings.graphContextTokens (default 1024, max 4096, step 128, 0 = off); GraphContextData + graphContextText; the graph-context JobKind + buildGraphContextSteer (id steer_ctx_<chatId>) - core/graph-context.ts: brute-force cosine top-K, greedy chars/4 fill under budget, most-recent UnderstandingLevel fold, count cap 64, parse-don't-cast at the marker seam - server: embedQuery (role-asymmetric query format, same warm singleton — vector-space parity by construction); the runner (startGraphContext- Injection one-shot gates; runGraphContextJob validates ledger parity); wake branches (chatIdOf/jobIdOf, finalizeJob done, recoverStaleJobs re-deliver or contextRespawn); abortJob kills context jobs SILENTLY (nothing was promised in the lesson); turn-service trigger seam - adapter: data-graph-context flattens to the canonical block (malformed parts have no model face) - UI: the budget slider (home dock + /chat/new draft, the session-data strip); the quiet SystemLine "~537 · 10 propositions"; dock kind "Knowledge context"; model-picker PUT now spreads settings (a model pick can no longer clear the sibling override) Live-smoked end to end on the real embedder + real GLM: seeded ledger (10 propositions), session on "modal logic: possible worlds and the necessity box" — job in the dock, queued behind the prober's question, delivered on the answer, SystemLine in the transcript, wake turn reads the block and continues the probe. Gates: tsc, lint, 459/459, build.
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@@ -89,11 +89,14 @@ interface LoopContext {
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* table mirrors MODELS in config.ts (research→researcher, demo→demoBuilder,
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* visual→visualMaker); the id is taken from config so a price-table sync
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* re-prices jobs for free. Model overrides (tests) still bill under the
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* configured model — usage is what is being captured, not which instance. */
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* configured model — usage is what is being captured, not which instance.
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* Context-injection jobs make NO model call ("" — onUsage never fires for
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* them; the kind is deliberately absent from the runners below). */
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const KIND_MODEL: Record<JobKind, string> = {
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research: MODELS.researcher.model,
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demo: MODELS.demoBuilder.model,
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visual: MODELS.visualMaker.model,
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"graph-context": "",
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};
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export function createJobRunner(deps: JobRunnerDeps): JobRunner {
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@@ -128,11 +131,15 @@ export function createJobRunner(deps: JobRunnerDeps): JobRunner {
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return jobStore.getJob(jobId)?.status === "running";
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}
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/** The kind→runner map: one sub-agent loop per job kind. */
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/** The kind→runner map: one sub-agent loop per SUB-AGENT kind.
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* graph-context is deliberately absent: injection jobs are not
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* sub-agent loops (no model, graph deps instead) — their spawn and
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* crash-respawn seam is subagents/graph-context.ts, and runJob refuses
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* them below rather than guessing wrong. */
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// Each kind's runner narrows the union input itself (dispatch-time inputs
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// are kind-correct by construction; transcript fallbacks are cast after).
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const KIND_RUNNERS: Record<
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JobKind,
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Exclude<JobKind, "graph-context">,
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(jobId: string, input: JobToolInput | undefined, loop: LoopContext) => Promise<void>
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> = {
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research: (jobId, input, loop) => runResearchJob(jobId, researchModelOverride.current, input, loop),
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@@ -147,6 +154,12 @@ export function createJobRunner(deps: JobRunnerDeps): JobRunner {
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return;
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}
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if (job.status !== "running") return; // already finished / re-run after crash recovery
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if (job.kind === "graph-context") {
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// Not a sub-agent: the injection's own respawn seam
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// (setContextRespawn → runGraphContextJob) owns these records.
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console.error(`[job ${jobId}] graph-context job reached the sub-agent runner — wrong seam`);
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return;
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}
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const run = KIND_RUNNERS[job.kind];
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if (!run) {
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console.error(`[job ${jobId}] unknown kind: ${job.kind}`);
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