Entry points (no sixth tab): Ask in the Library header (desktop button, phone icon), Ask about this deck in the deck menu, Ask a question on study/homework results (compact result travels as context), and a Chat row in the desktop sidebar. Phones get a full-screen route with back + New chat; the tab bar steps aside. - Client-side retrieval: chunk scoped decks (~800 tokens), BM25 against the question + recent turns, top chunks under ~7k tokens, each labelled with deck + section. Notes come from the deck's stored sourceText (already kept for Regenerate); decks without it fall back to generated content and the UI says so. - Stateless server: /api/chat validates against the CHAT_MODELS allowlist, trims the history to ~6k tokens, caps context at ~9k and streams token/thinking/done/error NDJSON. /api/chat/extract reduces attachments to text through the existing vision step. - UI: user bubbles + full-width assistant text, streaming with stop, auto-scroll that pauses with a jump-to-bottom button, safe markdown (React nodes, no HTML injection; KaTeX dynamically imported only when a message has math), Thinking row for reasoning, copy/regenerate/ edit-and-resend, model + context pickers (last model remembered), composer with visualViewport keyboard handling, safe-area, 16px textarea, Enter-to-send on desktop. - Usage-limit failures keep the draft and show the shared message with Settings/Ollama actions; stopping maps the reader abort to a clean stopped state; offline disables sending with a reason. - Settings: Keep notes text for chat toggle; deck menu: Delete notes text. RATE_LIMIT_CHAT + CHAT_MODELS in .env.example and README. - Tests: chat suite (63 checks, stub Ollama) wired into run-all. Full set: 12/12 suites, 487 checks. SW -> freezmo-v32. Also: tests/model-compare.mjs (diagnostic) benchmarks two models on the same notes (latency, repair rounds, activity types) so the gpt-oss vs gemma default can be decided on numbers; defaults unchanged.
43 lines
1.3 KiB
TypeScript
43 lines
1.3 KiB
TypeScript
"use client";
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/**
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* Hand-off from a study/homework result into the chat: the compact result
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* summary and the deck it belongs to travel in sessionStorage and the chat
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* picks them up on mount, pre-scoped. One-shot, like the deck seed.
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*/
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export type ChatSeed = {
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/** Deck to scope the chat to (when the result belongs to one). */
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deckId?: string;
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/** Human label for the context banner ("Study results"). */
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label: string;
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/** Compact text sent as an extra context chunk with the first request. */
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text: string;
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};
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const KEY = "freezmo.chat.seed.v1";
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export function setChatSeed(seed: ChatSeed): void {
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try {
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window.sessionStorage.setItem(KEY, JSON.stringify(seed));
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} catch {
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/* private mode */
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}
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}
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export function takeChatSeed(): ChatSeed | null {
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try {
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const raw = window.sessionStorage.getItem(KEY);
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if (!raw) return null;
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window.sessionStorage.removeItem(KEY);
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const parsed = JSON.parse(raw) as ChatSeed;
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if (!parsed || typeof parsed.text !== "string" || !parsed.text.trim()) return null;
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return {
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deckId: typeof parsed.deckId === "string" ? parsed.deckId : undefined,
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label: typeof parsed.label === "string" && parsed.label.trim() ? parsed.label : "Study result",
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text: parsed.text.slice(0, 6000),
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};
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} catch {
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return null;
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}
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}
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