Files
learnharness/src/core/question-core.ts
T
amosblomqvist 5653c77a29 feat: probe/teach agent split — explicit phase markers, position-only plan map
Diagnosis (2026-09-11 user testing, minimal-effort GLM): sessions stuck on
'plan' forever. Two causes: (1) the three-phase view read the stored tree's
currentNodeId, which nothing ever writes post author-once (2026-09-03) — a
structural dead seam; (2) the teacher stochastically left quiz.nodeId
untagged, and done-by-quiz-result semantics would have falsely completed
nodes anyway.

The redesign (docs/probe-teach-split.md) abolishes derived occupancy in
favor of explicit events:

- Two agents over one transcript: createProberAgent (quiz without a
  nodeId field, ask, probe_done) and createTeacherAgent (full toolset,
  plan_init onward). The chat-handler construction branch keys on a
  probe_done part in the transcript. MODELS.prober added.
- probe_done: server-side seam tool — carries the learner assessment
  (strands + free-form edge read), refuses while a question is open or
  the probe is already concluded, and queues a handoff steer through the
  generalized wake pipeline (steers now dedupe by id, not jobId; job
  finalization only for job steers). The teacher auto-wakes and authors
  the plan; the learner sees the assessment via the probe-done card.
- phases: probe ends at a concluded probe_done, plan ends at a
  successful plan_init — strictly sequential, no skipping, no legacy
  compatibility (data wiped at the pivot per doctrine).
- Plan map = position, not completion: derivePlanStatuses reads only
  tagged quiz CALLS (state/outcome feed nothing); current = latest
  tagged node with consecutive duplicates collapsed, visited = earlier
  distinct stays (a revisit stays in both — current wins at render).
  PlanTree is structure-only; currentNodeId/doneNodeIds and the dead
  mutation helpers are gone. No fallback current.
- Prompts split per agent (prompts/prober/, prompts/teacher/ over the
  trimmed shared base); graph-context injection removed entirely
  (shelved, docs/probe-teach-split.md §5); knowledge-graph context no
  longer reaches either agent.
- Plan blocks are full-only snapshots at plan_init (neighborhood
  machinery retired; the persistent DAG window is the future UI wave);
  usage capture unchanged.

Gates: tsc clean, 294/294 tests (phases/plan-tree/plan-blocks/question-
tools rewritten to the new semantics; probe-done + handoff-wake tests
added), lint, build. Live GLM smoke PASS: prober concluded with an honest
assessment, teacher auto-woke, authored a 10-node plan with the block
attached, then tagged checks on slope-instinct → secant derived current/
visited exactly as designed; grading honest both ways (driver off-by-one
proved a wrong answer grades false).
2026-09-11 06:44:20 +03:00

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/**
* question-core — the question contract + pure grading logic. No framework
* imports, no UI: everything here is deterministic and unit-testable.
*
* The zod schemas below are the tool INPUT contracts (agent/tools declares
* the tools against them); the browser validates, shuffles, and grades with
* these functions, then sends the verdict back as the tool output via
* addToolOutput:
* 1. The teacher model calls the `quiz` tool (question + options +
* correctAnswer + explanation). No server execute → the call lands in
* the UI as a typed tool part in `input-available` state.
* 2. The learner answers in the card; the client grades with this module.
* 3. addToolOutput sends the verdict (selection + correctness + note —
* never the explanation, the model authored that) back to the model.
*
* Because the pending question IS a persisted message part, a session can be
* exited and resumed mid-question for free.
*/
import { z } from "zod";
// ─── shared types ───────────────────────────────────────────────────────────
export interface QuizOption {
label: string;
value: string;
description?: string;
}
// ─── tool input schemas (the question contract) ─────────────────────────────
// Parameter names mirror the prompt docs exactly — keep them in sync.
const optionSchema = z.object({
label: z.string().describe("Display label for the answer option"),
value: z
.string()
.optional()
.describe("Optional machine-readable value returned for the option. Defaults to the label."),
description: z.string().optional().describe("Optional extra detail shown below the option"),
});
// ─── cross-field authoring validation (tool-schema refinements) ──────────
// Enforced at the tool-call boundary (see the superRefines below): an invalid
// question NEVER reaches the learner — the SDK returns the validation error
// to the teacher as a tool result and the teacher retries. The rules mirror
// the grading path exactly (normalizeOptions / coerceCorrectAnswer /
// resolveCorrect), so schema-valid ⇔ gradeable.
/** Option sanity shared by quiz + ask: labels non-empty, resolved values
* (trimmed `value`, falling back to the trimmed label — exactly how
* normalizeOptions keys them) distinct. Returns the problems plus the
* resolved keys for the correctAnswer check. */
function optionProblems(
options: Array<{ label: string; value?: string }>,
): { problems: string[]; keys: string[] } {
const problems: string[] = [];
const keys: string[] = [];
options.forEach((option, i) => {
const label = option.label.trim();
if (label.length === 0) {
problems.push(`options[${i}].label is empty — every option needs a label.`);
return;
}
const key = option.value?.trim() || label;
if (keys.includes(key)) {
problems.push(`Two options resolve to the same value "${key}" — options must be distinct.`);
}
keys.push(key);
});
return { problems, keys };
}
/** ask options: the shared sanity, nothing more (ask is not graded). */
export function askOptionProblems(options: Array<{ label: string; value?: string }>): string[] {
return optionProblems(options).problems;
}
/** The full quiz authoring contract: option sanity + correctAnswer must be
* gradeable. Empty result = a quiz the dock can arm and grade faithfully. */
export function quizInputProblems(input: {
options: Array<{ label: string; value?: string }>;
correctAnswer: string | string[];
multiSelect?: boolean;
}): string[] {
const { problems, keys } = optionProblems(input.options);
const entries = coerceCorrectAnswer(input.correctAnswer).map((v) => v.trim());
const unique = [...new Set(entries)];
if (unique.length === 0 || unique.some((v) => v.length === 0)) {
problems.push("correctAnswer is required — provide the value (or label) of the correct option(s).");
return problems;
}
for (const v of unique) {
if (!keys.includes(v)) {
problems.push(
`correctAnswer "${v}" does not match any option value. Valid values: ${keys.map((k) => `"${k}"`).join(", ")}. ` +
"Copy the exact value (or label) of the intended option — never a paraphrase or slug.",
);
}
}
if (unique.length > 1 && input.multiSelect !== true) {
problems.push(
`correctAnswer lists ${unique.length} values but multiSelect is not true — a single-select question with several ` +
"correct answers can never be answered correctly. Set multiSelect: true, or make exactly one option correct.",
);
}
return problems;
}
// The SHARED quiz authoring fields — everything except `nodeId`. The probe
// and teach agents use DIFFERENT tools under the same name (docs/probe-teach-
// split.md §1): the prober's quiz has NO nodeId field at all (there is no
// map to position on), the teacher's adds it (the position signal — the
// per-session tree validation chains on top in tools.ts). Grading rules
// are identical, single-sourced here.
export const quizInputBase = z.object({
question: z.string().describe("The single quiz question to ask. Ask exactly one question per tool call."),
options: z
.array(optionSchema)
.min(2)
.describe(
"The answer options (2 or more). Options only — there is no free-text mode. " +
"Give each option a stable `value`; you reference the correct one by that value in correctAnswer. " +
"Never add your own 'I don't know' option — that choice is added for you.",
),
multiSelect: z
.boolean()
.optional()
.describe("Set to true when more than one option is correct and the learner must select all of them."),
correctAnswer: z
.union([z.string(), z.array(z.string())])
.describe(
"REQUIRED. The correct answer as the option value(s) — the `value` field of the option you intend. " +
'Single-select: a single string (e.g. "mercury"). Multi-select: an array of strings (e.g. ["belize", "niue"]); ' +
"the learner is only correct if their selection matches this set exactly. " +
"Always pass the value, not a position number — this is self-checking and prevents miscounting. " +
"A value that matches no option fails validation and the call is returned to you to fix.",
),
explanation: z
.string()
.describe(
"REQUIRED. Explanation revealed AFTER the learner answers (shown whether they got it right or wrong). " +
"Use it to reinforce why the correct answer is correct.",
),
details: z.string().optional().describe("Optional extra context or instructions shown under the question."),
});
// The TEACH-side quiz object: the shared base + the plan-position field.
// `nodeId` means "this question is ABOUT this node" — a position signal,
// never a completion signal (docs/probe-teach-split.md §3).
export const quizInputObject = quizInputBase.extend({
nodeId: z
.string()
.optional()
.describe(
"Optional plan-tree node id this question is about — must EXACTLY match one of this session's " +
"plan_init node slugs (validated at call time; a mismatched id is rejected back to you). " +
"Tag every question that targets a map node: the lesson's position on the map derives from these tags " +
"(the node the latest tagged question is about is where the map stands; earlier ones count as visited). " +
"Omit for quick ad-hoc checks that don't target a node.",
),
})
// The cross-field authoring contract (the Gate-3 hardening): a quiz whose
// correctAnswer can't be graded NEVER reaches the learner. The SDK validates
// client-side tool inputs against this schema at the call boundary and, on
// failure, returns the validation error to the teacher as a tool result —
// the teacher retries with a fixed quiz in the same turn. Schema-valid ⇔
// gradeable: the rules are exactly what the grading path accepts.
//
// NOTE the split: the raw objects (pre-refinement) are exported for
// composition — tools.ts teachQuestionTools chains the per-session
// plan-nodeId validation (it reads the live chat record, which this core
// never touches) on top of this shared refinement, and the PROBE quiz
// (no nodeId at all) refines quizInputBase directly.
export const quizInputSchema = quizInputObject
.superRefine((input, ctx) => {
for (const problem of quizInputProblems(input)) {
ctx.addIssue({ code: "custom", message: problem });
}
});
/** The PROBE-side quiz schema: the shared authoring contract, no nodeId
* field at all — the session's map doesn't exist yet. */
export const probeQuizInputSchema = quizInputBase.superRefine((input, ctx) => {
for (const problem of quizInputProblems(input)) {
ctx.addIssue({ code: "custom", message: problem });
}
});
export const askInputSchema = z
.object({
// No `mode` param — the pi original has none: the mode is inferred from
// whether options are present (the dock does exactly this). One less
// knob for the model to misuse.
question: z.string().describe("The single question to ask the learner. Ask exactly one question per tool call."),
details: z.string().optional().describe("Optional extra context or instructions shown under the question."),
options: z
.array(optionSchema)
.min(2)
.optional()
.describe(
"Optional multiple-choice options. Omit for free-form text input. " +
"The learner can always choose 'Other' and type a custom answer when options are provided.",
),
multiSelect: z.boolean().optional().describe("Set to true to allow multiple answers to the same question."),
})
// Same option sanity as the quiz (labels non-empty, values distinct — ask
// is not graded, but duplicate values break the dock's value keying).
.superRefine((input, ctx) => {
for (const problem of askOptionProblems(input.options ?? [])) {
ctx.addIssue({ code: "custom", message: problem });
}
});
export type QuizToolInput = z.infer<typeof quizInputSchema>;
export type AskToolInput = z.infer<typeof askInputSchema>;
/** A real selected answer, in the order the options were displayed. */
export interface OptionAnswer {
label: string;
value: string;
index: number; // 1-based display index
}
export type QuestionKind = "quiz" | "ask";
export type SelectMode = "single-select" | "multi-select";
export type QuestionMode = SelectMode | "text";
/** Full question data — stored in the `lh_question` custom entry. */
export interface QuestionData {
id: string;
kind: QuestionKind;
question: string;
context?: string;
mode: QuestionMode;
options: QuizOption[]; // display order (post-shuffle)
// quiz only. NEVER send to the client before answering:
correctIndices?: number[];
explanation?: string;
createdAt: string;
}
/** The learner's answer — full structured record, stored in `lh_question_answered`. */
export interface QuestionAnswerData {
questionId: string;
kind: QuestionKind;
questionText: string;
options?: { index: number; label: string }[]; // snapshot for rendering
dontKnow: boolean;
answers: OptionAnswer[];
other?: string; // ask: "Other" free text
text?: string; // ask: text-mode answer
note?: string;
correct?: boolean; // quiz only
correctIndices?: number[]; // quiz only (rendering)
explanation?: string; // quiz only (rendering)
dismissed?: boolean;
answeredAt: string;
}
/** Client-facing question payload — deliberately omits the answer. */
export interface ClientQuestion {
id: string;
kind: QuestionKind;
question: string;
context?: string;
mode: QuestionMode;
options: QuizOption[];
}
/** What the server passes to the bridge when the learner answers. */
export interface AnswerRequest {
dontKnow?: boolean;
values?: string[]; // option values
other?: string; // ask "Other"
text?: string; // ask text-mode
note?: string;
}
export const QUESTION_ENTRY = "lh_question";
export const QUESTION_ANSWERED_ENTRY = "lh_question_answered";
// ─── options ────────────────────────────────────────────────────────────────
export function normalizeOptions(
options: Array<{ label: string; value?: string; description?: string }> | undefined,
): QuizOption[] {
const seen = new Set<string>();
return (options || [])
.map((option) => ({
label: option.label.trim(),
value: option.value?.trim() || option.label.trim(),
description: option.description?.trim() || undefined,
}))
.filter((option) => {
if (option.label.length === 0) return false;
if (seen.has(option.value)) throw new Error(`duplicate option value "${option.value}"`);
seen.add(option.value);
return true;
});
}
/** Fisher-Yates over a copy. correctAnswer is keyed by value, so display
* order can be shuffled safely before resolving indices. */
// ─── options ────────────────────────────────────────────────────────────────
/** mulberry32 seeded by a string — deterministic shuffle for hydration-safe rendering. */
export function seededRandom(seed: string): () => number {
let h = 2166136261;
for (let i = 0; i < seed.length; i++) {
h ^= seed.charCodeAt(i);
h = Math.imul(h, 16777619);
}
let a = h >>> 0;
return () => {
a |= 0;
a = (a + 0x6d2b79f5) | 0;
let t = Math.imul(a ^ (a >>> 15), 1 | a);
t = (t + Math.imul(t ^ (t >>> 7), 61 | t)) ^ t;
return ((t ^ (t >>> 14)) >>> 0) / 4294967296;
};
}
/**
* Fisher–Yates with an injectable RNG. Pass `seededRandom(toolCallId)` in
* rendered components: Math.random() shuffles differently on server vs client
* and breaks hydration (React #418). A per-toolCallId seed keeps the order
* stable across reloads while still varying it per question.
*/
export function shuffleOptions(options: QuizOption[], rand: () => number = Math.random): QuizOption[] {
const out = [...options];
for (let i = out.length - 1; i > 0; i--) {
const j = Math.floor(rand() * (i + 1));
const a = out[i]!;
const b = out[j]!;
out[i] = b;
out[j] = a;
}
return out;
}
// ─── quiz grading ───────────────────────────────────────────────────────────
/** The harness sometimes delivers a multi-select correctAnswer array as a
* JSON-stringified string because the schema union lists String first. */
export function coerceCorrectAnswer(correctAnswer: string | string[]): string[] {
if (Array.isArray(correctAnswer)) return correctAnswer;
const trimmed = correctAnswer.trim();
if (trimmed.startsWith("[") && trimmed.endsWith("]")) {
try {
const parsed = JSON.parse(trimmed);
if (Array.isArray(parsed)) return parsed.map((v) => String(v));
} catch {
// not valid JSON — treat as a single literal value
}
}
return [correctAnswer];
}
/** Resolve author-supplied value(s) to 1-based display indices. Keying by
* value (not position) makes a typo a hard error instead of a silent wrong
* grade. Must run AFTER shuffling. */
export function resolveCorrect(
correctAnswer: string | string[] | undefined,
options: QuizOption[],
): { indices: number[]; error?: string } {
if (correctAnswer === undefined) return { indices: [], error: "correctAnswer is required" };
const arr = coerceCorrectAnswer(correctAnswer);
if (arr.length === 0) return { indices: [], error: "correctAnswer is required" };
const byValue = new Map(options.map((o, i) => [o.value, i + 1]));
const indices: number[] = [];
for (const raw of arr) {
const v = typeof raw === "string" ? raw.trim() : raw;
const idx = byValue.get(v);
if (idx === undefined) {
const known = options.map((o) => `"${o.value}"`).join(", ");
return { indices: [], error: `correctAnswer "${v}" does not match any option value (${known})` };
}
indices.push(idx);
}
return { indices: Array.from(new Set(indices)).sort((a, b) => a - b) };
}
/** Exact-set match: same number of selections, same indices. */
export function isCorrect(selectedIndices: number[], correctIndices: number[]): boolean {
if (selectedIndices.length !== correctIndices.length) return false;
const a = [...selectedIndices].sort((x, y) => x - y);
const b = [...correctIndices].sort((x, y) => x - y);
return a.every((v, i) => v === b[i]);
}
// ─── arming + answering ─────────────────────────────────────────────────────
export function makeId(): string {
return `q_${Date.now().toString(36)}_${Math.random().toString(36).slice(2, 10)}`;
}
export function toClientQuestion(qd: QuestionData): ClientQuestion {
return {
id: qd.id,
kind: qd.kind,
question: qd.question,
context: qd.context,
mode: qd.mode,
options: qd.options,
};
}
function formatOptionRef(options: QuizOption[], index: number): string {
const opt = options.find((o, i) => i + 1 === index);
return `${index}. ${opt ? opt.label : "(unknown)"}`;
}
/**
* Turn an AnswerRequest into the full answer record + the user message the
* agent will see. Quiz answers are graded here; ask answers are not.
*/
export function buildAnswer(qd: QuestionData, req: AnswerRequest): QuestionAnswerData {
const base: QuestionAnswerData = {
questionId: qd.id,
kind: qd.kind,
questionText: qd.question,
options: qd.options.map((o, i) => ({ index: i + 1, label: o.label })),
dontKnow: req.dontKnow === true,
answers: [],
note: req.note?.trim() || undefined,
answeredAt: new Date().toISOString(),
};
// resolve selected option values → OptionAnswer (in display order)
if (req.values && req.values.length > 0) {
const byValue = new Map(qd.options.map((o, i) => [o.value, { ...o, index: i + 1 }]));
for (const v of req.values) {
const opt = byValue.get(v);
if (!opt) continue; // unknown value — ignore
base.answers.push({ label: opt.label, value: opt.value, index: opt.index });
}
base.answers.sort((a, b) => a.index - b.index);
}
if (req.other?.trim()) base.other = req.other.trim();
if (req.text?.trim()) base.text = req.text.trim();
if (qd.kind === "quiz") {
base.correctIndices = qd.correctIndices ?? [];
base.explanation = qd.explanation;
base.correct = base.dontKnow ? false : isCorrect(base.answers.map((a) => a.index), qd.correctIndices ?? []);
}
return base;
}
/** The user message that carries the answer into the agent's context. */
export function formatAnswerMessage(ad: QuestionAnswerData): string {
const label = ad.kind === "quiz" ? "Quiz answer" : "Answer to your question";
const head = `[${label}]`;
const lines: string[] = [head];
if (ad.dismissed) {
lines.push("The learner dismissed this question without answering.");
return lines.join("\n");
}
if (ad.kind === "quiz") {
const correctStr = (ad.correctIndices ?? []).map((i) => formatOptionRefSnapshot(ad, i)).join(", ");
if (ad.dontKnow) {
lines.push(
`The learner selected "I don't know" — they did NOT attempt an answer (a genuine knowledge gap, not a wrong guess).`,
);
} else {
const verdict = ad.correct ? "CORRECT" : "INCORRECT";
const selectedStr = ad.answers.map((a) => `${a.index}. ${a.label}`).join(", ");
lines.push(`Selected: ${selectedStr || "(none)"}`);
lines.push(`Result: ${verdict}`);
}
lines.push(`Correct: ${correctStr}`);
} else {
if (ad.text) {
lines.push(`The learner answered: ${ad.text}`);
} else if (ad.other) {
lines.push(`The learner answered (Other): ${ad.other}`);
} else if (ad.answers.length > 0) {
const selectedStr = ad.answers.map((a) => `${a.index}. ${a.label}`).join(", ");
lines.push(`Selected: ${selectedStr}`);
} else {
lines.push("(no answer)");
}
}
if (ad.note) lines.push(`Note: ${ad.note}`);
return lines.join("\n");
}
function formatOptionRefSnapshot(ad: QuestionAnswerData, index: number): string {
const opt = (ad.options ?? []).find((o) => o.index === index);
return `${index}. ${opt ? opt.label : "(unknown)"}`;
}
/**
* Derive the pending (oldest unanswered) question from a session's entries.
* Used on resume/backfill — pending state lives in the session file itself.
*/
export function findPendingQuestion(
entries: Array<{ type: string; customType?: string; data?: unknown }>,
): ClientQuestion | null {
const answered = new Set<string>();
for (const e of entries) {
if (e.type === "custom" && e.customType === QUESTION_ANSWERED_ENTRY) {
const d = e.data as QuestionAnswerData | undefined;
if (d?.questionId) answered.add(d.questionId);
}
}
for (const e of entries) {
if (e.type === "custom" && e.customType === QUESTION_ENTRY) {
const d = e.data as QuestionData | undefined;
if (d && !answered.has(d.id)) return toClientQuestion(d);
}
}
return null;
}