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.
