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.
70 lines
2.9 KiB
TypeScript
70 lines
2.9 KiB
TypeScript
import { getChat, validateChatSettings, stores } from "@/src/server";
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import type { ThinkingLevel } from "@earendil-works/pi-agent-core";
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import { GRAPH_CONTEXT_TOKENS_MAX, type ChatSettings } from "@/src/core";
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/**
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* The per-chat model control (model-control wave): replace-whole settings —
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* the picker sends the complete desired object ({} clears all overrides and
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* returns the chat to config.ts's pin). Validation is the catalog gate
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* (src/server/model-catalog.ts): unknown provider/model or an unsupported
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* thinking level is a 400 carrying the supported list, never a silent clamp
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* — the user must see what the model actually accepts. Effective next turn
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* by construction (agents are stateless per turn).
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*/
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export async function PUT(req: Request, { params }: { params: Promise<{ id: string }> }) {
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const { id } = await params;
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if (!getChat(id)) return Response.json({ error: "Not found" }, { status: 404 });
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const body = (await req.json().catch(() => null)) as
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| { model?: { provider?: unknown; id?: unknown }; thinkingLevel?: unknown; graphContextTokens?: unknown }
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| null;
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if (!body || typeof body !== "object") {
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return Response.json({ error: "Invalid JSON body" }, { status: 400 });
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}
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const settings: ChatSettings = {};
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if (body.model !== undefined) {
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if (
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typeof body.model !== "object" ||
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body.model === null ||
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typeof body.model.provider !== "string" ||
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typeof body.model.id !== "string"
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) {
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return Response.json({ error: "model must be {provider, id}" }, { status: 400 });
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}
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settings.model = { provider: body.model.provider, id: body.model.id };
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}
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if (body.thinkingLevel !== undefined) {
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if (typeof body.thinkingLevel !== "string") {
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return Response.json({ error: "thinkingLevel must be a string" }, { status: 400 });
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}
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settings.thinkingLevel = body.thinkingLevel as ThinkingLevel;
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}
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// Graph context injection budget (vision-context-injection.md): integer
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// tokens, 0 (off) to GRAPH_CONTEXT_TOKENS_MAX, no silent clamping — the
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// slider is the only writer, and it only ever sends multiples of the step.
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if (body.graphContextTokens !== undefined) {
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if (
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typeof body.graphContextTokens !== "number" ||
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!Number.isInteger(body.graphContextTokens) ||
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body.graphContextTokens < 0 ||
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body.graphContextTokens > GRAPH_CONTEXT_TOKENS_MAX
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) {
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return Response.json(
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{ error: `graphContextTokens must be an integer between 0 and ${GRAPH_CONTEXT_TOKENS_MAX}` },
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{ status: 400 },
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);
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}
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settings.graphContextTokens = body.graphContextTokens;
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}
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const verdict = validateChatSettings(settings);
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if (!verdict.ok) {
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return Response.json({ error: verdict.error, supported: verdict.supported }, { status: 400 });
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}
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// Replace-whole persists the validated object verbatim — no merges, so a
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// stale client can never resurrect a cleared override.
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stores.chatStore.saveSettings(id, settings);
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return Response.json({ settings });
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}
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