Quiz hardening: cross-field schema validation rejects ungradeable quizzes

quizInputSchema now enforces (via pure quizInputProblems + superRefine) that
correctAnswer resolves against option values, options are non-empty and
unique, and multi-answer requires multiSelect — schema-valid now implies
gradeable. The AI SDK already returns invalid tool input to the model as a
tool-error part (verified in ai@7 run loop), so the teacher retries in the
same turn. chat-handler onError passes tool-input validation messages
through to the client (masked 'An error occurred.' for everything else).
Covers the Gate 3 GLM failure: correctAnswer slug matching no option.
This commit is contained in:
Amos
2026-09-01 01:47:47 +03:00
parent 83e3ab6180
commit 5dab8d12d4
5 changed files with 346 additions and 46 deletions
+1
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@@ -26,6 +26,7 @@ export const quizTool = tool({
"Ask the learner a GRADED question with a known correct answer, then instantly grade and give feedback. " +
"Use it to (1) assess what the learner already understands before teaching, and (2) run tight practice/retrieval loops after explaining. " +
"Options-only: single-select or multi-select, plus an automatic 'I don't know' choice so the learner can signal a genuine gap instead of guessing. " +
"correctAnswer must be the EXACT value (or label) of one of the listed options — a correctAnswer that matches no option fails validation and the call is returned to you to fix. " +
"No free-text answers — for non-graded questions use ask_user_question instead. " +
"Ask exactly one question per tool call; after calling, end your turn and wait for the graded result.",
inputSchema: quizInputSchema,
+134 -45
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@@ -39,52 +39,141 @@ const optionSchema = z.object({
description: z.string().optional().describe("Optional extra detail shown below the option"),
});
export const quizInputSchema = z.object({
question: z.string().describe("The single quiz question to ask"),
options: z
.array(optionSchema)
.min(2)
.describe(
"The answer options (2 or more). Options only — no free-text mode. Never add your own 'I don't know' option.",
),
correctAnswer: z
.union([z.string(), z.array(z.string())])
.describe(
"The correct answer as the option value(s) — the `value` field of the option you intend. " +
"Single-select: one string. Multi-select: an array; the learner is only correct if their selection matches this set exactly.",
),
explanation: z
.string()
.describe("Explanation revealed AFTER the learner answers. Always say why the correct answer is correct."),
multiSelect: z.boolean().optional().describe("Set true only when more than one option is correct"),
details: z.string().optional().describe("Optional extra context or instructions shown under the question"),
nodeId: z
.string()
.optional()
.describe(
"Optional plan-tree node id this question assesses. Set whenever the question targets a tree node — " +
"the outcome feeds the learner's knowledge graph. Omit for ad-hoc probes.",
),
});
// ─── 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.
export const askInputSchema = z.object({
question: z.string().describe("The single question to ask"),
mode: z
.enum(["single-select", "multi-select", "text"])
.optional()
.describe(
"Answer mode. Omit for single-select when options are given, or text when they are not.",
),
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.",
),
multiSelect: z.boolean().optional().describe("Set true to allow multiple answers to be selected"),
details: z.string().optional().describe("Optional extra context or instructions shown under the question"),
});
/** 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;
}
export const quizInputSchema = z
.object({
question: z.string().describe("The single quiz question to ask"),
options: z
.array(optionSchema)
.min(2)
.describe(
"The answer options (2 or more). Options only — no free-text mode. Never add your own 'I don't know' option.",
),
correctAnswer: z
.union([z.string(), z.array(z.string())])
.describe(
"The correct answer as the option value(s): copy the EXACT `value` — or `label` when `value` is omitted — " +
"of the intended option(s), never a paraphrase or slug; a mismatch fails validation. " +
"Single-select: one string. Multi-select: an array; the learner is only correct if their selection matches this set exactly.",
),
explanation: z
.string()
.describe("Explanation revealed AFTER the learner answers. Always say why the correct answer is correct."),
multiSelect: z.boolean().optional().describe("Set true only when more than one option is correct"),
details: z.string().optional().describe("Optional extra context or instructions shown under the question"),
nodeId: z
.string()
.optional()
.describe(
"Optional plan-tree node id this question assesses. Set whenever the question targets a tree node — " +
"the outcome feeds the learner's knowledge graph. Omit for ad-hoc probes.",
),
})
// 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.
.superRefine((input, ctx) => {
for (const problem of quizInputProblems(input)) {
ctx.addIssue({ code: "custom", message: problem });
}
});
export const askInputSchema = z
.object({
question: z.string().describe("The single question to ask"),
mode: z
.enum(["single-select", "multi-select", "text"])
.optional()
.describe(
"Answer mode. Omit for single-select when options are given, or text when they are not.",
),
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.",
),
multiSelect: z.boolean().optional().describe("Set true to allow multiple answers to be selected"),
details: z.string().optional().describe("Optional extra context or instructions shown under the 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>;
+12 -1
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@@ -1,4 +1,4 @@
import { createAgentUIStreamResponse, type UIMessage } from "ai";
import { createAgentUIStreamResponse, InvalidToolInputError, NoSuchToolError, type UIMessage } from "ai";
import { createTeacherAgent, type TeacherAgent } from "../agent/teacher-agent.ts";
import { createJobRunner } from "../agent/subagents/runner.ts";
import { createExtractionPipeline } from "../agent/subagents/extraction.ts";
@@ -45,6 +45,17 @@ export async function handleChatRequest(req: Request, agent?: TeacherAgent): Pro
buildTeacherContext(stores.graphStore, chatId),
),
uiMessages: body.messages as UIMessage[],
// Tool-call validation failures are messages OUR schemas authored (the
// quiz authoring contract, unknown tools) — safe and useful in the
// transcript: they are exactly what the teacher saw and retried on. The
// tool loop delivers them as plain strings (what the model received) or
// as the original error object; expose both, and keep everything else
// (provider/transport internals) masked, as the SDK defaults.
onError: (error) => {
if (typeof error === "string") return error;
if (InvalidToolInputError.isInstance(error) || NoSuchToolError.isInstance(error)) return error.message;
return "An error occurred.";
},
onFinish: ({ messages, isAborted }) => {
persistTurn(stores.chatStore, chatId, messages as UIMessage[], isAborted);
spawnTurnJobs(jobRunner, chatId, messages as UIMessage[]);
+85
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@@ -229,6 +229,91 @@ describe("teacher chat flow (scripted model)", () => {
const saved = chatStore.getChat(chat.id)!;
assert.ok(saved.messages.length >= 1, "partial transcript persisted");
});
it("an ungradeable quiz is rejected at the call boundary, the error reaches the model, and the model retries", async () => {
// The authoring contract (question-core superRefine): a quiz whose
// correctAnswer matches no option value must NEVER reach the dock —
// the SDK validates client-side tool inputs against the schema, marks
// the call invalid, and returns the validation error to the teacher as
// a tool result. The loop re-prompts the model, which retries in the
// same turn. This pins that whole mechanism (the live Nietzsche bug).
const BAD_QUIZ_INPUT = {
question: "What is Nietzsche's genealogical claim about religion?",
options: [{ label: "A cultural diagnosis" }, { label: "Atheism as a conclusion" }],
correctAnswer: "cultural-diagnosis", // the exact live failure shape: a slug, no match
explanation: "Genealogy diagnoses, it does not convert.",
};
const calls: string[][] = [];
let step = 0;
const retryModel = new MockLanguageModelV4({
doStream: async (options) => {
calls.push(options.prompt.map((m) => JSON.stringify(m.content)));
step++;
const chunks: LanguageModelV4StreamPart[] =
step === 1
? [
{ type: "stream-start", warnings: [] },
{ type: "tool-input-start", id: "call-bad", toolName: "quiz" },
{ type: "tool-input-delta", id: "call-bad", delta: JSON.stringify(BAD_QUIZ_INPUT) },
{ type: "tool-input-end", id: "call-bad" },
{
type: "tool-call",
toolCallId: "call-bad",
toolName: "quiz",
input: JSON.stringify(BAD_QUIZ_INPUT),
},
{ type: "finish", finishReason: { unified: "tool-calls", raw: "tool_calls" }, usage: usage() },
]
: [
{ type: "stream-start", warnings: [] },
{ type: "tool-input-start", id: "call-good", toolName: "quiz" },
{ type: "tool-input-delta", id: "call-good", delta: JSON.stringify(QUIZ_INPUT) },
{ type: "tool-input-end", id: "call-good" },
{
type: "tool-call",
toolCallId: "call-good",
toolName: "quiz",
input: JSON.stringify(QUIZ_INPUT),
},
{ type: "finish", finishReason: { unified: "tool-calls", raw: "tool_calls" }, usage: usage() },
];
return { stream: simulateReadableStream({ chunks, initialDelayInMs: 0, chunkDelayInMs: 0 }) };
},
});
const agent = createTeacherAgent(retryModel);
const chat = chatStore.createChat("Test: bad quiz retry");
createdChats.push(chat.id);
const firstUser = { id: "u1", role: "user", parts: [{ type: "text", text: "quiz me" }] };
await drain(await handleChatRequest(post(chat.id, [firstUser]), agent));
// The model was re-prompted (the error did not end the turn)…
assert.equal(calls.length, 2, "the invalid call triggered a second model prompt");
// …and the second prompt carried the validation error back as a tool result.
assert.match(
calls[1]!.join(" "),
/does not match any option value/,
"the validation error reached the model",
);
// The transcript: the failed call persisted as an error part (renders
// nothing client-side), the retry as the pending quiz.
const saved = chatStore.getChat(chat.id)!;
const assistantMsg = saved.messages[1]!;
const quizParts = assistantMsg.parts.filter((p) => p.type === "tool-quiz");
const failed = quizParts.find(
(p) => p.type === "tool-quiz" && (p as { state?: string }).state === "output-error",
);
assert.ok(failed, "the invalid call persisted as an error-state part");
assert.match(
String((failed as { errorText?: string }).errorText),
/does not match any option value/,
);
const pending = findPendingToolCall(saved.messages);
assert.equal(pending?.toolCallId, "call-good", "the RETRIED quiz is the pending one");
assert.deepEqual(pending?.input, QUIZ_INPUT);
});
});
describe("chat store", () => {
+114
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@@ -5,6 +5,8 @@
import assert from "node:assert/strict";
import { describe, it } from "node:test";
import {
askInputSchema,
askOptionProblems,
buildAnswer,
coerceCorrectAnswer,
findPendingQuestion,
@@ -14,12 +16,124 @@ import {
normalizeOptions,
QUESTION_ANSWERED_ENTRY,
QUESTION_ENTRY,
quizInputProblems,
quizInputSchema,
resolveCorrect,
shuffleOptions,
type QuestionData,
toClientQuestion,
} from "../src/core/question-core.ts";
// ─── the authoring contract (tool-schema refinements) ───────────────────
// Schema-valid ⇔ gradeable: a quiz whose correctAnswer can't be resolved
// dies at the tool-call boundary, and the SDK returns the error to the
// teacher to retry — it must never reach the learner's dock.
describe("quizInputSchema / quizInputProblems (the authoring contract)", () => {
const valid = {
question: "Which planet is closest to the Sun?",
options: [{ label: "Venus" }, { label: "Mercury" }, { label: "Mars" }],
correctAnswer: "Mercury",
explanation: "Mercury is the innermost planet.",
};
it("accepts a valid single-select quiz (label as correctAnswer)", () => {
const parsed = quizInputSchema.safeParse(valid);
assert.equal(parsed.success, true);
assert.deepEqual(quizInputProblems(valid), []);
});
it("accepts explicit values and multi-select arrays (incl. JSON-stringified)", () => {
const multi = {
...valid,
options: [
{ label: "A", value: "a" },
{ label: "B", value: "b" },
{ label: "C", value: "c" },
],
correctAnswer: ["a", "b"],
multiSelect: true,
};
assert.equal(quizInputSchema.safeParse(multi).success, true);
// The union lists String first, so providers sometimes stringify arrays.
const stringified = { ...multi, correctAnswer: JSON.stringify(multi.correctAnswer) };
assert.equal(quizInputSchema.safeParse(stringified).success, true);
assert.deepEqual(quizInputProblems(stringified), []);
});
it("rejects the observed failure: a correctAnswer slug matching no option value, listing the valid values", () => {
// The exact class GLM produced live (Gate 3 + live verification).
const bad = {
question: "What is Nietzsche's genealogical claim about religion?",
options: [
{ label: "A cultural diagnosis" },
{ label: "Atheism as a conclusion" },
{ label: "A call to convert people" },
],
correctAnswer: "cultural-diagnosis",
explanation: "...",
};
const parsed = quizInputSchema.safeParse(bad);
assert.equal(parsed.success, false);
const problems = quizInputProblems(bad);
assert.equal(problems.length, 1);
assert.match(problems[0]!, /does not match any option value/);
assert.match(problems[0]!, /"A cultural diagnosis"/); // the valid values are listed for the retry
// The schema's error message carries the problems (the SDK returns them to the teacher).
const msg = JSON.stringify(parsed.error?.issues);
assert.match(msg, /does not match any option value/);
});
it("rejects multiple correct answers without multiSelect (ungradeable single-select)", () => {
const bad = { ...valid, correctAnswer: ["Venus", "Mercury"] };
assert.equal(quizInputSchema.safeParse(bad).success, false);
assert.match(quizInputProblems(bad).join(" "), /multiSelect/);
});
it("rejects duplicate option values", () => {
const bad = {
...valid,
options: [
{ label: "Mercury", value: "same" },
{ label: "Venus", value: "same" },
],
};
assert.equal(quizInputSchema.safeParse(bad).success, false);
assert.match(quizInputProblems(bad).join(" "), /same value/);
});
it("rejects an empty option label", () => {
const bad = { ...valid, options: [{ label: " " }, { label: "Mercury" }, { label: "Mars" }] };
assert.equal(quizInputSchema.safeParse(bad).success, false);
assert.match(quizInputProblems(bad).join(" "), /label is empty/);
});
it("requires a resolvable correctAnswer", () => {
assert.equal(quizInputSchema.safeParse({ ...valid, correctAnswer: "" }).success, false);
assert.equal(quizInputSchema.safeParse({ ...valid, correctAnswer: "[]" }).success, false);
assert.match(quizInputProblems({ ...valid, correctAnswer: "" }).join(" "), /required/);
});
});
describe("askInputSchema / askOptionProblems", () => {
it("accepts a valid ask", () => {
const parsed = askInputSchema.safeParse({
question: "Which topic first?",
options: [{ label: "Limits" }, { label: "Chain rule" }],
});
assert.equal(parsed.success, true);
});
it("rejects duplicate option values and empty labels (they break the dock's keying)", () => {
const bad = { question: "?", options: [{ label: "A", value: "x" }, { label: "B", value: "x" }] };
assert.equal(askInputSchema.safeParse(bad).success, false);
assert.match(askOptionProblems(bad.options).join(" "), /same value/);
const emptyLabel = { question: "?", options: [{ label: "" }, { label: "B" }] };
assert.equal(askInputSchema.safeParse(emptyLabel).success, false);
assert.match(askOptionProblems(emptyLabel.options).join(" "), /label is empty/);
});
});
// ─── normalizeOptions ───────────────────────────────────────────────────────
describe("normalizeOptions", () => {