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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@@ -84,6 +84,41 @@ describe("DraftShell — the sessionless surface", () => {
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assert.ok(/rounded-2xl[^>]*pointer-events-auto|pointer-events-auto[^>]*rounded-2xl/.test(html));
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});
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it("renders the knowledge-context slider at the decided default (absent settings = on, 1024)", () => {
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const html = renderToStaticMarkup(
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<DraftShell
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busy={false}
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text=""
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onChange={() => {}}
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onSend={() => {}}
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settings={undefined}
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onSettingsSaved={() => {}}
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/>,
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);
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assert.ok(html.includes('data-testid="graph-context-control"'));
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// The slider's default position: 1024 of 4096, step 128 (decided).
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assert.ok(html.includes('min="0"') && html.includes('max="4096"') && html.includes('step="128"'));
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assert.ok(html.includes("1k tokens"), "the readout shows the default budget, not 0 — default is ON");
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assert.ok(html.includes("Knowledge context"), "the control is labeled");
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// Absent settings render the default — never 'off'.
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assert.ok(!html.includes(">off<"));
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});
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it("an explicit 0 renders as off — the learner turned the graph off for this session", () => {
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const html = renderToStaticMarkup(
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<DraftShell
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busy={false}
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text=""
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onChange={() => {}}
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onSend={() => {}}
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settings={{ graphContextTokens: 0 }}
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onSettingsSaved={() => {}}
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/>,
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);
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assert.ok(html.includes('data-testid="graph-context-value"'));
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assert.ok(html.includes(">off<"));
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});
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it("no chat id anywhere — nothing in the markup references a session", () => {
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const html = renderToStaticMarkup(
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<DraftShell
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