amosblomqvist
1d45d77303
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.
67 lines
2.3 KiB
TypeScript
67 lines
2.3 KiB
TypeScript
"use client";
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import { BookOpenIcon } from "lucide-react";
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import {
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GRAPH_CONTEXT_TOKENS_DEFAULT,
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GRAPH_CONTEXT_TOKENS_MAX,
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GRAPH_CONTEXT_TOKENS_STEP,
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} from "@/src/core";
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import { formatTokens } from "@/components/usage-format";
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/**
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* The knowledge-context budget control (vision-context-injection.md) — the
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* "session data" section's one input, shown where sessions START: the home
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* (graph) view's new-session dock and the /chat/new draft. Input before
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* output: the panel that will later show what the session contributed to
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* the graph asks first what the graph will contribute to the session.
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*
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* One quiet slider row: the token budget for the prior-knowledge block the
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* injection steers in at session start. 0 = off; absent settings show the
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* DEFAULT (1024 — on). The value rides ChatSettings (the same lifted
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* settings the model picker uses), so it persists pre-chat via the same
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* deferred PUT. Sessions never show this control — the injection is
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* one-shot at session start, so mid-session there is nothing to decide.
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*/
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export function GraphContextControl({
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value,
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onChange,
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testId = "graph-context-control",
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}: {
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value: number;
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onChange: (tokens: number) => void;
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testId?: string;
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}) {
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return (
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<div
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data-testid={testId}
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className="flex items-center gap-2 px-1 text-xxs text-muted-foreground"
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>
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<BookOpenIcon className="size-3 shrink-0" />
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<span className="shrink-0 uppercase tracking-widest">Knowledge context</span>
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<input
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type="range"
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min={0}
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max={GRAPH_CONTEXT_TOKENS_MAX}
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step={GRAPH_CONTEXT_TOKENS_STEP}
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value={value}
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onChange={(e) => onChange(Number(e.target.value))}
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aria-label="Prior-knowledge token budget"
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className="h-1 flex-1 accent-primary"
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data-testid="graph-context-slider"
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/>
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<span
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className="w-16 shrink-0 text-right tabular-nums"
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data-testid="graph-context-value"
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>
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{value === 0 ? "off" : `${formatTokens(value)} tokens`}
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</span>
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</div>
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);
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}
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/** The control's effective value for a chat's settings — absent = the
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* default (on), never 0: the decided default is a modest slice of prior
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* knowledge for every fresh session. */
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export function effectiveContextTokens(settings: { graphContextTokens?: number } | undefined): number {
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return settings?.graphContextTokens ?? GRAPH_CONTEXT_TOKENS_DEFAULT;
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} |